A Matching Method of Space-borne Laser Altimeter Big Footprint Waveform and Terrain Based on Cross Cumulative Residual Entropy

doi:10.11947/j.AGCS.2017.20160255

Abstract

Abstract: A matching method of space-borne laser altimeter big footprint waveform and terrain based on cross cumulative residual entropy(CCRE) is proposed. Firstly, the waveform data and digital surface model(DSM) data are projected to the statistics domain, according to the terrain structure information of the waveform, where statistics signal vectors of the two data are in the same dimension. Then, the waveform data and DSM image are matched in the statistics domain with CCRE. Experiments show that the algorithm proposed is effective in waveform and terrain matching, and the matching accuracy is within 1 pixel.

Key words: space-borne laser altimeter, big footprint waveform, terrain matching, statistics, cross cumulative residual entropy(CCRE)

CLC Number:

P223

YUE Chunyu, XING Kun, BAO Yunfei, ZHOU Nan, HE Hongyan. A Matching Method of Space-borne Laser Altimeter Big Footprint Waveform and Terrain Based on Cross Cumulative Residual Entropy[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(3): 346-352.

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