Successful Matching Research Articles

Being lean: how to shape digital transformation in the manufacturing sector

PurposeIndustry 4.0 and Lean Production are a successful match in terms of performance improvement. While we understand the combined potential, there is still poor understanding of how companies should embrace digital transformation to make it successful and sustainable, and the role that lean plays in it. In this paper, we investigate how manufacturing companies embark upon digital transformation and how being lean might affect it.Design/methodology/approachWe conducted multiple case studies with 19 manufacturing companies. We identified two clusters of companies according to their Lean maturity, and we assessed digital transformation patterns by analyzing insights coming both from cases and from the literature. Integrating cross-case analysis results, we developed a framework that shows two different digital transformation patterns according to companies’ commitment to Lean.FindingsOur findings first and foremost show the significant role of lean in driving digital transformation. We identify two patterns, namely Sustaining digital transformation pattern, characterized by the pervasive role of lean culture with small and horizontal digital changes, involvement of people and willingness to maintain continuous process improvement, and Disruptive digital transformation pattern, characterized by few and large digital steps that imply a disruptive and radical change in the company system.Practical implicationsEmpirical evidence supports the relevance of the proposed model and its practical usefulness. It can be used to design digital transformation, prepare properly the introduction of Industry 4.0 through a lean approach, and plan the future desired state, identifying the Industry 4.0 technologies that should be implemented.Originality/valueIt is widely recognized that the relationship between Industry 4.0 and lean is significant and positive, yet little evidence was presented to back that. We aim at bringing this debate forward by providing initial empirical evidence of the significant role that lean has on digital transformation, showing how lean drives the digital transformation pattern of companies.

(Invited) Titania Inverse-Opal Photonic Crystals Incorporating Gold Nanoparticles in Void Spaces for Photoabsorption Enhancement

Designing of three-dimensional (3D) materials such as inverse-opal (IO) photonic crystals (PCs) has been identified as an effective pathway to enhance light harvesting to longer electromagnetic absorption regions such as visible and infrared [1]. IO PCs exhibit photonic band gap (PBG) and this band structure predicts the translation of photons with reduced velocity, namely as slow photons at certain crystallographic directions. The photonic effect from titania (TiO2)-IO structure was reported to enhance light-material interactions thus allowing better absorption of light at the wavelength at which the materials absorb poorly [2]. On the other hand, utilization of gold-nanoparticles (Au-NPs) on TiO2 could aid in charge separation and play its role as an amplifier for visible-light absorption due to its effects originating from localized surface plasmon resonance (LSPR) [3]. In this study, TiO2-IO PC with incorporated gold nanoparticles(Au-NPs) per void space was developed by implementing five important steps to achieve a good quality of TiO2-IO structure. Both photonic effects due to the slow photons in TiO2-IO structure and LSPR effects contributed by Au-NPs were expected to give visible-light absorption by the photocatalyst material.The experimental procedure consists of five steps as shown in Scheme 1 starting from (i) synthesis of Au-NPs, (ii) silica (SiO2) coating on Au-NP to form Au/SiO2 core-shells, (iii) self-assembly of Au/SiO2 to form high-quality opal structure, (iv) infiltration of TiO2 precursor via forced impregnation method and (v) selective etching of SiO2 to obtain the final TiO2-IO structure. Photodegradation of acetic acid was carried out in the presence of the photocatalyst material by using blue LED light (450 nm) with optical power of 0.3 W. SiO2 containing Au-NP (Au/SiO2) was used as the opal template for the 3D macroporous TiO2-IO containing Au-NP per void space (TiO2(Au)-IO). Figures 1a and 1b are images observed for Au/SiO2 opal structure exhibiting face-centered cubic (FCC) arrangement. As is observed, the closely packed opal structure could be obtained as the minimum variation among each particle was less than 5 %. However, extra precautions should be taken to avoid cracking on the opal structure to sustain the quality of the final desired material. Figures 1c and 1d are images of TiO2(Au)-IO which was successfully obtained after TiO2 infiltration via forced impregnation method followed by the removal of SiO2 to form the nanovoids. The strategy that has been implemented to enhance the light harvesting process was by designing the TiO2-IO structure with different diameter of nanovoids, which can be controlled by altering the SiO2 shell thickness in the second step of the synthesis process.Photocatalytic activities of those samples were evaluated by measuring the amount of carbon-dioxide(CO2) generated from acetic acid by TiO2(Au)-IO with different diameter of nanovoid diameters (Au-NP size: 44 nm) under LED light irradiation (4 h). Enhanced CO2 evolution was detected with TiO2(Au)-IO with nanovoid diameter of 215 nm suggesting the successful matching of photonic and LSPR effects in TiO2(Au)-IO.[1] X. Zheng, D. Li, X. Li, L. Yu, P. Wang, X. Zhang, J. Fang, Yu. Shao and Y. Zheng. Phys. Chem. Chem. Phys. 16 (2014) 15299–15306.[2] V. Jovic, H. Idriss and G.I.N. Waterhouse. Chem. Phys. 479 (2016) 109–121.[3] S.M. Yoo, S.B. Rawal, J.E. Lee, J. Kim, H. Ryu, D. Park and W.E. Lee. Appl. Catal. A Gen. 499 (2015) 47–54. Figure 1

Good fences make good neighbors: Collaborating with families to create employment opportunity

BACKGROUND: Collaboration between supported employment providers and parents/guardians of job seekers with intellectual and/or developmental disabilities is key to employment success. However, parents are often concerned about the efficacy of employment supports or the capacity of the professionals providing the service. Likewise, job coaches may consider certain kinds of parent involvement as detrimental to a successful job match. OBJECTIVE: This article provides context for why parents/guardians may be distrustful of the employment process, as well as why employment specialists may struggle to build strong partnerships with parents/guardians. METHODS: This article will discuss how to implement practices that not only welcome the critical input of families, but also maintain healthy and well-defined boundaries that affirm the autonomy, professionalism, and competence of the worker.

Association between septal deviation and OSA diagnoses: a nationwide 9-year follow-up cohort study.

Obstructive sleep apnea (OSA) is a multilevel problematic disease. Major septal deviation (SD) can lead to severe nasal congestion, which, in turn, can lead to sleep apnea. Although SD seems to be related to OSA, very few studies have quantitatively examined this relationship. In this study, we investigate this using a 9-year large-scale cohort study. The SD group was selected out of 1 million individuals randomly extracted by the National Health Insurance Service. The non-SD group was obtained through propensity score matching considering several variables. The primary end point was OSA diagnosis. The study (SD) group included 11,238 individuals and the non-SD group (control group) included 22,476 persons. The overall hazard ratio for OSA in the SD group was 4.39 (95% confidence interval [CI]: 3.56-5.42). In subgroup analysis, the hazard ratio for OSA of male individuals was 3.77 (95% CI: 2.83-5.03), high economic status was 1.27 (95% CI: 1.05-1.56), metropolitan area was 1.31 (95% CI: 1.07-1.62), young age was 0.79 (95% CI: 0.64-0.98), hypertension was 1.00 (95% CI: 0.37-2.7), and diabetes mellitus was 2.44 (95% CI: 1.15-5.21). In the SD group, the hazard ratio for OSA after septoplasty was 0.71 (95% CI: 0.54-0.94). From long-term follow-up, the prevalence of OSA was 4.39 times higher in the SD group compared with the control group. This phenomenon was more pronounced with increasing body mass index and decreased significantly after septoplasty. Yeom SW, Chung SK, Lee EJ, etal. Association between septal deviation and OSA diagnoses: a nationwide 9-year follow-up cohort study. J Clin Sleep Med. 2021;17(10):2099-2106.

Variations in the Physical Performance of Olympic Boxers over a Four-Day National Qualifying Tournament.

The aim of this study was to examine changes in body mass (BM) and power-related measures in Olympic boxers during an official qualifying boxing tournament. Fourteen elite amateur boxers from the Brazilian National Team (eight men and six women) participated in this study. Athletes performed three fights in four days against the same opponent of the same weight-category. Before and immediately after every fight, BM, countermovement jump (CMJ) height, and power production in the bench-press and half-squat exercises were assessed in the same order and on the same time of the day. A two-way repeated-measures ANOVA with the Bonferroni post-hoc analysis was used to determine the variations between pre- and post-measures. The statistical significance was set as p < 0.05. The athletes were able to maintain their baseline weight and physical performance throughout the experimental period, as shown by the lack of significant changes in BM, CMJ height, and upper- and lower-limb power output. Throughout a four-day qualifying tournament, the BM and power-related performance of Olympic boxers were not affected either by match execution or by successive matches. As scoring actions are highly dependent on muscle power, it is likely that these combat athletes are able to maintain optimal levels of performance across consecutive matches.

Dermatology Residency Program Influences Chance of Successful Surgery Fellowship Match: The 2020 Match Cycle Update.

Dermatology Residency Program Influences Chance of Successful Surgery Fellowship Match: The 2020 Match Cycle Update.

Couple Relationships Are Associated With Increased REM Sleep-A Proof-of-Concept Analysis of a Large Dataset Using Ambulatory Polysomnography.

Background/Objectives: Rapid Eye Movement (REM) sleep is associated with memory consolidation and several health effects including stress response, mental health, and longevity. Recently, it has been shown that regularly co-sleeping couples have increased and stabilized REM sleep when co-sleeping as compared to sleeping individually. However, it remained unclear whether this is due to a specific effect of altering the usual sleeping environment by partner deprivation or due to a generalizable REM-sleep promoting effect of couple relationships. The present study aims to clarify this ambiguity.Methods: Married or never married individuals were taken from the Sleep Heart Health Study (n = 5,804) and matched regarding sociodemographic and health parameters. Matching was done using propensity score matching (1:1, nearest neighbor) and resulted in two groups of n = 69 each (married vs. never married). After confirmation of successful matching, samples were compared regarding REM sleep and other polysomnographic parameters (paired Students t-tests or Wilcoxon signed-rank tests).Results: Married individuals showed significantly higher levels of total and relative REM sleep as compared to never married individuals (all p's ≤ 0.003). Neither other sleep stages nor REM-sleep fragmentation differed between groups (all p's ≥ 0.29). Results regarding number of sleep cycles were ambiguous.Conclusion: This is the first between-subjects study to show that couple relationships are associated with increased REM sleep. This finding represents a necessary (but not sufficient) condition for the previously hypothesized self-enhancing feedback loop of REM sleep and sociality as well as for REM-sleep promotion as a mechanism through which couple relationships prevent mental illness.

Abstract No. 92 Predictors of successful match in applicants to integrated interventional radiology residency: a cohort study

The purpose of this study is to assess the role that applicant characteristics play in applicants’ successful match into an integrated interventional radiology program. The Texas Star match database was analyzed. 37 unmatched and 103 matched applicants who were surveyed between 2018 and 2020 were included. Descriptive statistics and univariate and multivariate logistic regression with backward elimination were performed to determine the effects of applicant characteristics on the likelihood of an applicant matching into an integrated interventional radiology program. Baseline characteristics are the following: Average USMLE STEP 1, STEP 2, cumulative quartile, honored clerkships, number of research experiences, research presentations, peer-reviewed publications, volunteer experiences, and leadership experiences for matched applicants were 243, 250, 1.61, 4.15, 5.11, 6.02, 3.5, 5.9, and 3.76, respectively. Similarly, these values for unmatched applicants were 238, 245, 1.95, 2.62, 5.35, 6.06, 3, 6.36, and 4, respectively. Univariate analysis revealed Step 1 score (OR: 1.031, P = 0.047), geographic connection to the program to which an applicant matched (OR: 2.925, P = 0.016), completion of an away rotation (OR: 11.538, P = 0.019), and an increased number of honored clerkships (OR: 1.316, P = 0.002) increased the likelihood of matching. On multivariate analysis, doing an away rotation, having an increased number of honored clerkships, and having a geographic connection to the program to which an applicant applied yielded the following statistics: OR: 9.24, P = 0.038; OR: 1.428, P< 0.001; OR: 3.338, P = 0.024, respectively. Doing an away rotation at a program to which the applicant matched, increased number of honored clerkships, and having a geographic connection to the program in which an applicant applies increases the likelihood of successfully matching into an integrated interventional radiology program.

Map Merging with Suppositional Box for Multi-Robot Indoor Mapping

For the map building of unknown indoor environment, compared with single robot, multi-robot collaborative mapping has higher efficiency. Map merging is one of the fundamental problems in multi-robot collaborative mapping. However, in the process of grid map merging, image processing methods such as feature matching, as a basic method, are challenged by low feature matching rate. Driven by this challenge, a novel map merging method based on suppositional box that is constructed by right-angled points and vertical lines is proposed. The paper firstly extracts right-angled points of suppositional box selected from the vertical point which is the intersection of the vertical line. Secondly, based on the common edge characteristics between the right-angled points, suppositional box in the map is constructed. Then the transformation matrix is obtained according to the matching pair of suppositional boxes. Finally, for matching errors based on the length of pairs, Kalman filter is used to optimize the transformation matrix. Experimental results show that this method can effectively merge map in different scenes and the successful matching rate is greater than that of other features.

Interoception, Trait Anxiety, and the Gut Microbiome: A Cognitive and Physiological Model.

Trait anxiety is characterized as a constant and often subliminal state that persists during daily life. Interoception is the perception of internal states and sensations, including from the autonomic nervous system. This review aims to develop a predictive model to explain the emergence, manifestations, and maintenance of trait anxiety. The model begins with the assumption that anxiety states arise from active interoceptive inference. The subsequent activation of autonomic responses results from aversive sensory encounters. A cognitive model is proposed for trait anxiety that includes the aversive sensory components from interoception, exteroception, and proprioception. A further component of the hypothesis is that repeated exposure to subliminal anxiety-evoking sensory elements can lead to an overgeneralization of this response to other inputs that are generally non-aversive. Increased uncertainty may result when predicting the sensory environment, resulting in arbitrary interoceptive anxiety responses that may be due to unjustifiable causes. Arbitrary successful or unsuccessful matching of predictions and responses reduces the individual’s confidence to maintain the anxiety trait. In this review, the application of the proposed model is illustrated using gut microbial dysbiosis or imbalance of the gut microbiome.

Identifying multiple social network accounts belonging to the same users

Social networks used for different purposes by users contain different user data. Finding same users' accounts in different social networks and compiling the data found in a single repository will be a very important factor that will both improve the recommended systems and increase the user experience. The aim of this study is to collect the data of thousands of users in nine different social networks and to find the same users in these networks. For this purpose, the novel node alignment and node similarity methods were proposed in the study. While using the anchor method for topological-based node proposition, density relationships between connections are also taken into account. In the node similarity method, the number of successful node matching was increased with attribute selection criteria and initial state selection method we proposed. However, in this study, alignment and similarity were determined both according to users’ profile characteristics and their relationship with other users. Nine different methods have been proposed for finding the same accounts on different social networks. The proposed methods were tested on the data of two to six social networks, and users' match success rates were measured. The results showed success rates of up to 95%. This enabled the creation of a wide user profile covering multiple social networks for users whose different attributes are gathered on the same graph in multiple social networks.

Predictors of otolaryngology applicant success using the Texas STAR database.

ObjectivesTo examine applicant characteristics and behaviors associated with a successful match into otolaryngology residency.MethodsSelf‐reported survey data from applicants to otolaryngology residency between 2018 and 2020 were obtained from the Texas STAR database. Characteristics and predictors associated with a successful match were examined using Chi‐square tests, two‐sided t‐tests, and logistic regression models.ResultsA total of 315 otolaryngology residency applicants responded to the survey of whom 274 matched (87%) and 41 did not match (13%). Matched applicants had a significantly higher mean USMLE Step 1 score (P = .016) and Step 2 CK score (P = .007). There were no significant differences in AOA status (45% vs 36%; P = .207), mean number of applications submitted (70 vs 69; P = .544), and mean number of away rotations (2.1 vs 2.0; P = .687) between matched and unmatched applicants. Significant predictors of a successful match included receiving honors in 5 or more clerkships (OR 2.0, 95% CI 1.0‐4.0; P = .040), receiving honors in an ENT clerkship (OR 3.7, 95% CI 1.0‐12.9; P = .044), and having 3 or more peer‐reviewed publications (OR 2.3, 95% CI 1.1‐4.5; P = .020). The majority of applicants (79.9%) matched at a program where they either did an away rotation, had a personal geographic connection, or attended medical school in the same geographic region.ConclusionsBoard scores, excelling on clinical rotations, and having productive research experience appear to be strong predictors of a successful match in otolaryngology. The majority of applicants report a personal or geographic connection to the program at which they match.Level of evidence4.

Making the Match: Three Program Directors’ Thoughts on Successfully Matching into Pediatric Cardiology Fellowship

Successfully matching into a pediatric cardiology fellowship program is difficult, and there is currently a paucity of helpful material for prospective applicants. To address this gap and to guide pediatric cardiology fellowship applicants in navigating this process, three fellowship program directors have compiled a list of recommendations on how residents can improve their chances for a successful match. Detailed descriptions of the following recommendations are provided: become a great pediatrician, show consistent interest in pediatric cardiology, complete a research project, ensure great letters of recommendation, don't botch the personal statement, and apply wisely and interview effectively.

Determining student-level characteristics predictive of successful matching in PGY1 community-based residency programs: A curriculum vitae analysis

IntroductionThe purpose of this analysis was to determine which characteristics increase a candidate's likelihood of matching with a post-graduate year 1 (PGY1) community-based residency program (CBRP). MethodsCurrent and former CBRP residents' curriculum vitae (CVs) were collected and reviewed utilizing a survey and standardized rubric. Eligible participants were current PGY1 CBRP residents or had completed a PGY1 program no earlier than 2015. Primary endpoints included number of participants with extensive leadership experience, relevant experiential rotations, presentation history, and involvement in pharmacy organizations. Descriptive statistics were performed to identify the most common characteristics and their relative quantities. ResultsA total of 50 eligible CVs were submitted and reviewed. The majority of participants had extensive (defined as four or more) presentation experiences, at least three mid- to high-level leadership experiences, multiple ambulatory/outpatient pharmacy experiential rotations, and involvement in pharmacy organizations. Few participants (26%) had previous teaching experience. ConclusionsResidency candidates who matched with CBRPs tended to have extensive mid- to high-level leadership experiences and presentation experience. Based on these findings, additional studies are warranted to compare existing and/or redesigned postgraduate training preparation curricula and their impact on residency match rates.

A Concentration of Measure Approach to Correlated Graph Matching

The graph matching problem emerges naturally in various applications such as Web privacy, image processing and computational biology. In this article, graph matching is considered under a stochastic model, where a pair of randomly generated graphs with pairwise correlated edges are to be matched such that given the labeling of the vertices in the first graph, the labels in the second graph are recovered by leveraging the correlation among their edges. The problem is considered under various settings and graph models. In the first step, the Correlated Erdos-Renyi (CER) graph model is studied, where all edge pairs whose vertices have similar labels are generated based on identical distributions and independently of other edges. A matching scheme called the typicality matching scheme is introduced. The scheme operates by investigating the joint typicality of the adjacency matrices of the two graphs. New results on the typicality of permutations of sequences lead to necessary and sufficient conditions for successful matching based on the parameters of the CER model. In the next step, the results are extended to graphs with community structure generated based on the Stochastic Block Model (SBM). The SBM model is a generalization of the CER model where each vertex in the graph is associated with a community label, which affects its edge statistics. The results are further extended to matching of ensembles of more than two correlated graphs. Lastly, the problem of seeded graph matching is investigated where a subset of the labels in the second graph are known prior to matching. In this scenario, in addition to obtaining necessary and sufficient conditions for successful matching, a polynomial time matching algorithm is proposed.

Buyer-supplier matching in online B2B marketplace: An empirical study of small- and medium-sized enterprises (SMEs)

Mitigating perceived uncertainty and risk is critical for successful exchanges in an online B2B marketplace. However, scant empirical research has been devoted to the topic, and even less to small- and medium-sized enterprises (SMEs). We investigate the use of quality signals and recommendations to foster buyer-supplier matching in an online B2B marketplace of SMEs. Unique proprietary data from a leading B2B e-commerce platform suggest that such a matching is significantly related to signals of SME buyers' quality and credibility embedded in how projects are described. Moreover, appropriately designed recommendation system can increase the matching rate because it helps reduce buyers' information overload. This research highlights the importance of integrating online channel data with traditional offline channel data to accurately assess the drivers of buyer-supplier matching. Our findings provide valuable insights into how to design and manage an online B2B marketplace for SMEs to yield more successful matches.

Trends in the Physical Medicine and Rehabilitation Match: Analysis of NRMP Data from 2007 to 2018.

We provide an updated analysis of data about U.S. Physical Medicine and Rehabilitation (PM&R) residency program applicants collected by the National Resident Matching Program (NRMP). Analyze trends within NRMP data for PM&R residency match rates, compare matched to unmatched applicants, and compare PM&R applicants to other medical specialties. Secondary analysis of NRMP data. NRMP data set. Residency program applicants who participated in the NRMP Match, 2007 to 2018. Not applicable. Number of applicants, match rates, difference in characteristics including rank order list (ROL), U.S. Medical Licensing Examination (USMLE) Step 1 and Step 2 Clinical Knowledge (CK) scores, publications, Alpha Omega Alpha (AOA) status, PhD degree, and experiences in research, volunteer, and work. Number of applicants and residency positions increased from 2007 to 2018. Length of ROL increased and was longer for matched compared to unmatched applicants, with maximum mean difference of 7.4 in 2016 (95% confidence interval [CI] 5.6-9.2). Matched U.S. Allopathic Seniors had higher USMLE scores compared to unmatched, with a mean difference of 12.7 for Step 1 (95% CI 8.3-17.0) and 12.6 (95% CI 8.6-16.6) for Step 2 CK (P< .001). Number of publications and volunteer experiences were higher for matched U.S. Allopathic Seniors (0.64, 95% CI 0.09-1.2 and 1.5, 95% CI 0.65-2.3, respectively). PM&R USMLE Step 1 and 2 CK scores increased at a significantly faster rate than for all other specialties, with estimated rate differences of 0.46 (95% CI 0.21-0.71) and 0.69 (95% CI 0.45-0.93) points per year, respectively. PM&R residency has become more competitive. USMLE Step 1 and 2 CK scores have outpaced the inflation of scores in other specialties. ROL length has increased, suggesting more ranked programs to successfully match. These analyses update our knowledge about PM&R residency applicants and suggest surrogate markers for a successful match.

Factors associated with successful mentor matching in an intervention study of youth violence.

One challenge of conducting intervention studies is ensuring that study participants are exposed to the intervention. For example, in our randomized controlled trial of Take Charge!, a mentor-implemented and research-informed violence prevention program that partners with one-on-one community-based mentoring agencies, only 50% of intervention youth with fight-related injuries were successfully matched with a mentor. We examined the differences between matched (n = 49) and unmatched (n = 49) youth with regard to demographics, time from injury to study enrollment, perceived seriousness of injury, belief that future injury can be avoided, and household chaos. Youth who were successfully matched with a mentor were more likely to perceive the injury as very serious or somewhat serious compared with unmatched youth (95.9% vs. 79.6%, p = .028). All other factors were not significantly associated with successful mentor matching. Future violence prevention interventions should consider youth perceptions as a factor that may influence the completion of desired interventions.

Comparisons of image-matching software when identifying pool frog (Pelophylax lessonae) individuals from a reintroduced population

Photographic identification of individual animals is a non-invasive and cost-effective method that can provide demographic information on wild populations. This study aims to compare two photo-matching algorithms (Wild- ID and I3S-Spot) using a reintroduced population of pool frogs (Pelophylax lessonae) in the UK as a case study. We compared the following parameters 1) sex and age, 2) image quality, 3) image collection size and 4) processing time to evaluate successful image match rates. There were no significant differences in successful match rates found between sex and age groups. Wild-ID was more sensitive to image quality than I3S-Spot. There was a significant negative relationship between image collection size and successful match rates for I3S-Spot, however, no such relationship for Wild-ID. The findings of our study can be used by conservation practitioners to reduce workload and improve accuracy during population monitoring activities.

A Generalized Tool for Accurate and Efficient Image Registration of UAV Multi-lens Multispectral Cameras by N-SURF Matching

The original multispectral (MS) images obtained from multi-lens multispectral cameras (MSCs) have significant misregistration errors, which require image registration for precise spectral measurement. However, due to the nonlinearity intensity differences among MS images, performing image matching is difficult to find sufficient correct matches (CMs) for image registration, and results in a complex coarse-to-fine solution. Based on the modification of speed-up robust feature (SURF), we proposed a normalized SURF (N-SURF) that can significantly increase the amount of CMs among different pairs of MS images and make one-step image registration possible. In this study, we first introduce N-SURF and adopt different MS datasets acquired from three representative MSCs (MCA-12, Altum, and Sequoia) to evaluate its matching ability. Meanwhile, we utilized three image transformation models—affine transform (AT), projective transform (PT), and an extended projective transform (EPT) to correct the misregistration errors of MSCs and evaluate their co-registration correctness. The results show that N-SURF can obtain 6–20 times more CMs than SURF and can successfully match all pairs of MS images, while SURF failed in the cases of significant spectral differences. Moreover, visual comparison, accuracy assessment, and residual analysis show that EPT can more accurately correct the viewpoint and lens distortion differences of MSCs than AT and PT, and it can obtain co-registration accuracy of 0.2–0.4 pixels. Subsequently, using the successful N-SURF matching and EPT model, we developed an automatic MS image registration tool that is suitable for various multilens MSCs.