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As the linear array sensor such as multispectral and hyperspectral sensor has great potential in disaster monitoring and geological\udsurvey, the quality of the image geometric rectification should be guaranteed. Different from the geometric rectification of airborne\udplanar array images or multi linear array images, exterior orientation elements need to be determined for each scan line of single\udlinear array images. Internal distortion persists after applying GPS/IMU data directly to geometrical rectification. Straight lines may\udbe curving and jagged. Straight line feature -based geometrical rectification algorithm was applied to solve this problem, whereby the\udexterior orientation elements were fitted by piecewise polynomial and evaluated with the straight line feature as constraint. However,\udatmospheric turbulence during the flight is unstable, equal piecewise can hardly provide good fitting, resulting in limited precision\udimprovement of geometric rectification or, in a worse case, the iteration cannot converge. To solve this problem, drawing on\uddynamic programming ideas, unequal segmentation of line feature-based geometric rectification method is developed. The angle\udelements fitting error is minimized to determine the optimum boundary. Then the exterior orientation elements of each segment are\udfitted and evaluated with the straight line feature as constraint. The result indicates that the algorithm is effective in improving the\udprecision of geometric rectification

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

AIRBORNE LINEAR ARRAY IMAGE GEOMETRIC RECTIFICATION METHOD BASED ON UNEQUAL SEGMENTATION