Abstract
The monitoring and analysis of dynamic changes in land resources can detect the changes of land aimed at a single‐band or multiband remote sensing image of multiple phases in a given region or target with image processing methods and can also extract the change information and realize remote sensing monitoring through the comprehensive analysis of multiphase remote sensing images. Synthetic aperture radar (SAR) image change monitoring technology, with the advantages of high resolution, high precision, real‐time service, and rapid imaging, can achieve qualitative or quantitative analysis of targets and is gradually widely used in quarterly monitoring, emergency monitoring, postbatch verification, law‐enforcement inspection and land inspection, and other remote sensing data acquisitions and analyses. Therefore, on the basis of summarizing the research results of previous research works, this paper expounded the current situation and significance of the researches on the monitoring and analysis of dynamic changes in land resources; elaborated the development background, current situation, and future challenges of SAR sensor data; introduced the methods and principles of band setting, polarization mode, geometric correction, and image filtering; proposed the status target identification of land resources; explored the dynamic information discovery of land resources; conducted the dynamic change monitoring of land resources based on SAR sensor data; analyzed the basis and characteristics of SAR sensor data; performed the generalization and optimization of land resource information; demonstrated the dynamic change analysis of land resources based on SAR sensor data; compared the acceptance ability and accuracy of SAR sensor data; and discussed the discovery and extraction of dynamic information of land resources. The results show that the SAR sensor data can monitor the characteristics of scattering points in land resource observation scenes and can obtain the change information of ground object by distance component and band component, so that the SAR system can make two‐dimensional imaging of land resources directly in front of the receiving platform. Thus, the SAR data obtained by multisystem parameters shows great application potential in land resource monitoring, which provides the possibility of decoupling to remove land resources and surface roughness and thus provides possible solutions for land resource analysis in complex environment. The results of this paper provide a reference for the follow‐up studies on the monitoring and analysis of dynamic changes in land resources based on SAR sensor data.
Highlights
IntroductionThe utilization of land resources will change. The dynamic information of land resource changes is mainly including the land type, specific location, related quantity, and other relevant data, and this information is necessary to grasp some content in a timely manner, which is conducive to the rational and sustainable development of land resources [1]
Over time, the utilization of land resources will change
The monitoring and analysis of dynamic change of land resources refer to the single-band or multiband remote sensing images of multiple phases given in the same region or the same target, and the use of image processing methods to detect the change of land and materials in the area can be used, and the change information can be extracted through the comprehensive analysis of multiphase remote sensing images to realize a comprehensive technology of remote sensing monitoring [2]
Summary
The utilization of land resources will change. The dynamic information of land resource changes is mainly including the land type, specific location, related quantity, and other relevant data, and this information is necessary to grasp some content in a timely manner, which is conducive to the rational and sustainable development of land resources [1]. The SAR sensor data takes into account image pixels and texture characteristics, two values are combined with the results of different methods of homologous SAR, and the final dynamic change results of land resources are obtained by multisource SAR variation map fusion. Whether it is in civilian use, such as climate. The detailed chapters are arranged as follows: Section 2 introduces the methods and principles of band setting, polarization mode, geometric correction, and image filtering; Section 3 conducts the dynamic change monitoring of land resources based on SAR sensor data; Section 4 demonstrates the dynamic change analysis of land resources based on SAR sensor data; Section 5 discusses the acceptance ability and accuracy of SAR sensor data and the discovery and extraction of dynamic information of land resources; Section 6 is conclusion
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