Abstract
The Near-equatorial orbit (NEqO) satellite represents a new generation of optical satellite images characterized by nonlinear distortion when captured. Conventional modeling techniques are insufficient to overcome the geometric distortion in these satellite images. This study proposes a new methodology for overcoming the geometric distortion of the NEqO images. The data used are obtained from RazakSAT and SPOT-5 satellite images in Malaysia. The method starts with applying the RI-SIFT algorithm to extract control points (CPs) automatically. These CPs are used to solve for the transformation parameters of the geometric correction model by applying spline transformations. The result is verified through statistical comparison: 1) geometric correction on the RazakSAT image is performed with Spot satellite image with using first-order polynomial trans-formation. 2) Then calculate the root mean square error (RMSE). 3) Compare the calculated RMSE with that obtained from the first step with that of the proposed method. The RMSE value of the geometric corrections using the proposed method was 7.08 × 10−9 m. The proposed method provides promising results.
Highlights
The geometric processing of remote-sensing images is a key issue in multiple-source data integration, management, and analysis in many geometric applications [1]
This study proposes a new methodology for overcoming the geometric distortion of the NEqO images
Geometric correction is a major challenge in different kinds of remote sensing applications, especially for NEqO satellite images, because, these images suffer from nonlinear distortion
Summary
The geometric processing of remote-sensing images is a key issue in multiple-source data integration, management, and analysis in many geometric applications [1]. The NEqO satellite images significantly differ in viewing points, solar zenith and azimuth angles, satellite zenith and azimuth angles, capture times, illumination, altitude, and satellite attitudes during imaging [1] [2] [3]. These differences cause the captured images to exhibit highly nonlinear distortion and result in the absence of geometric matching between similar features from two NEqO images even if the images are obtained from the same strip. The aim of this study is to apply a new model not applied before to overcome with the nonlinear distortion of NEqO satellite images of Razaksat satellite by applying this new technique
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