摘要
<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>
<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>
作者
Hayder Dibs
Shattri Mansor
Noordin Ahmad
Nadhir Al-Ansari
Hayder Dibs;Shattri Mansor;Noordin Ahmad;Nadhir Al-Ansari(Water Resources Management Engineering Department, Faculty of Water Resources Engineering, Al-Qasim Green University, Babylon, Iraq;Faculty of Engineering, Geospatial Information Science Research Centre, Department of Civil Engineering, University Putra Malaysia, Selangor, Malaysia;National Space Agency Malaysia (ANGKASA), Kementerian Sains, Teknologi dan Inovasi, Pusat Angkasa Negara, Selangor, Malaysia;Department of Civil Environmental and Natural Resources Engineering, Lulea University of Technology, Lulea, Sweden)
