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Images altitude geometry5/28/2023 ![]() The study area is located south of Pahang State, Malaysia. 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. The RazakSAT revisits the same area in Malaysia and other countries along the equator 14 times per day. The algorithms for geometric correction can be broadly classified into three: systematic correction, non-systematic correction, and a combination of the two. As a result, the images become unusable and cannot be processed by using conventional geometric correction algorithms the congenital geometric model cannot overcome the highly non-linear distortion of this kind of images such as the first polynomial transformation. 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 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. The geometric processing of remote-sensing images is a key issue in multiple-source data integration, management, and analysis in many geometric applications. The proposed method provides promising results. The RMSE value of the geometric corrections using the proposed method was 7.08 ×ġ0 −9 m. RMSE with that obtained from the first step with that of the proposed method. 2) Then calculate the root mean square error (RMSE). Performed with Spot satellite image with using first-order polynomial Statistical comparison: 1) geometric correction on the RazakSAT image is These CPs are used to solve for the transformation parameters of the geometricĬorrection model by applying spline transformations. The method starts withĪpplying the RI-SIFT algorithm to extract control points (CPs) automatically. The data used are obtainedįrom RazakSAT and SPOT-5 satellite images in Malaysia. Overcom ing the geometric distortion of the NEqO images. This study proposes a new methodology for Satellite images characterized by nonlinear distortion when captured.Ĭonventional modeling techniques are insufficient to overcome the geometricĭistortion in these satellite images. The Near-equatorial orbit (NEqO) satellite represent s a new generation of optical
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