CAJ | 학술논문

以“像方观测直线与像方预测直线必须重合”作为几何约束条件，以有理函数模型（RFM）作为高分辨率卫星影像的几何处理模型，提出了一种直线特征约束的高分辨率卫星影像区域网平差方法。本文方法仅需像方直线与物方直线相对应，无须像方直线上的像点与物方直线上的地面点一一对应。通过对圣迭戈试验区的两景IKONOS影像、斯波坎试验区的两景QuickBird影像和普罗旺斯试验区的两景SPOT‐5影像进行试验，结果表明：本文方法可以充分利用直线特征作为控制条件，有效补偿RPC参数中的系统误差，获得的IKONOS、QuickBird和SPOT‐5影像区域网平差的平面与高程精度均优于1个像素。
이“상방관측직선여상방예측직선필수중합”작위궤하약속조건，이유리함수모형（RFM）작위고분변솔위성영상적궤하처리모형，제출료일충직선특정약속적고분변솔위성영상구역망평차방법。본문방법부수상방직선여물방직선상대응，무수상방직선상적상점여물방직선상적지면점일일대응。통과대골질과시험구적량경IKONOS영상、사파감시험구적량경QuickBird영상화보라왕사시험구적량경SPOT‐5영상진행시험，결과표명：본문방법가이충분이용직선특정작위공제조건，유효보상RPC삼수중적계통오차，획득적IKONOS、QuickBird화SPOT‐5영상구역망평차적평면여고정정도균우우1개상소。
Taking “observed straight lines and predicted straight lines in image space being bound to coincide” as a geometric constraint and the rational function model (RFM) as the imaging geometric model of high‐resolution satellite imagery (HRSI ) , a block adjustment method of HRSI with straight line constraintsis proposed .For the proposed method ,the control straight line (CSL) in image space should be correspondent with the one in object space while the image point and the ground point on the lines are not necessarily correspondent .Two IKONOS images covering San Diego area ,two QuickBird images covering Spokane area and two SPOT‐5 images covering Provence area ,respectively ,were used .The experimental results showed that the proposed method can take full advantage of the control information in the form of linear features .Systematic errors in the rational polynomial coefficients (RPCs) can be compensated effectively .After block adjustment ,both the planimetric and height accuracies of the IKONOS ,QuickBird and SPOT‐5 images reach better than 1 pixel .