<span style="font-family:Verdana;">The Near-equatorial orbit (NEqO) satellite represent</span><span style="font-family:Verdana;">s</span><span style="font-family:Ver...<span style="font-family:Verdana;">The Near-equatorial orbit (NEqO) satellite represent</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> 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 overcom</span><span style="font-family:Verdana;">ing</span><span style="font-family:Verdana;"> 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 </span><span style="font-family:Verdana;">is </span><span style="font-family:Verdana;">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)</span><span style="font-family:Verdana;">. </span><span style="font-family:;" "=""><span style="font-family:Verdana;">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</span><sup><span style="font-family:Verdana;"><span style="white-space:nowrap;">−</span>9</span></sup><span style="font-family:Verdana;"> m. The proposed method provides promising results.</span></span>展开更多
文摘<span style="font-family:Verdana;">The Near-equatorial orbit (NEqO) satellite represent</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> 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 overcom</span><span style="font-family:Verdana;">ing</span><span style="font-family:Verdana;"> 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 </span><span style="font-family:Verdana;">is </span><span style="font-family:Verdana;">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)</span><span style="font-family:Verdana;">. </span><span style="font-family:;" "=""><span style="font-family:Verdana;">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</span><sup><span style="font-family:Verdana;"><span style="white-space:nowrap;">−</span>9</span></sup><span style="font-family:Verdana;"> m. The proposed method provides promising results.</span></span>