Massive Remote Sensing Image Fast Coordinate Transformation Algorithm of the Inverse Mapping Blocking Method

doi:10.13474/j.cnki.11-2246.2017.0119

Abstract

Abstract: This paper proposes massive remote sensing image coordinate transformation algorithm of the inverse mapping blocking method, analyzes the influence from the geometric shape and size of the blocks to the memory usage and efficiency of coordinate transforming processes with experiments then draws conclusions. This algorithm makes the memory usage of coordinate transforming processes independent from the size of the original image or the transformed image. By experiments contrast with main current remote sensing image processing software, it is observed that this algorithm is able to achieve the coordinate transforming processes for huge remote sensing images and subdivided images, in the process of subdivided images coordinate transform this algorithm is able to avoid the seams between images, and the processing efficiency of this algorithm achieves the level of main current remote sensing image processing software.

Key words: inverse mapping, blocking, huge images, subdivided images, coordinate transformation

CLC Number:

P237

FAN You, WU Chaoyun, WANG Kun, FAN Chong. Massive Remote Sensing Image Fast Coordinate Transformation Algorithm of the Inverse Mapping Blocking Method[J]. 测绘通报, 2017, 0(4): 53-57.

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