FUSION AND ASSESSMENT OF HIGH-RESOLUTION WORLDVIEW-3 SATELLITE IMAGERY USING NNDIFFUSE AND BROVEY ALGOTIRHMS

文献类型： 外文期刊

第一作者： Zhao, Jinling

作者： Zhao, Jinling;Huang, Linsheng;Zhang, Dongyan;Wu, Zhaoli;Guo, Junjie;Zhao, Jinling;Huang, Linsheng;Zhang, Dongyan;Yang, Hao

作者机构：

关键词： WorldView-3;GF-1;Multi-scale fusion;Quality assessment;Image pan sharpening

期刊名称：2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

ISSN： 2153-6996

年卷期： 2016 年

页码：

收录情况： SCI

摘要： It is highly necessary to merge high spatial resolution panchromatic images with high spectral resolution multispectral images in image processing tasks and thematic applications. WorldView-3 (WV-3) imagery was investigated for generating pan-sharped multispectral imagery. Brovey and NNDiffuse pan sharpening algorithms were comparatively used to perform the image fusion and the quality was also assessed. The results show that, in comparison with Brovey, NNDiffuse pan sharpened image can generally maintain spectral and texture information. Specifically, the spectral consistency was evaluated using four typical land cover types with a performance of vegetation > waterbody > bare land > built-up area in ascending order. The relative errors were 5.13%, 5.26%, 5.99%, 28.28%, respectively. Entropy was used to evaluate the texture feature and NNDiffuse fused image had extremely similar values in Max, Mean and Stdev compared to original panchromatic image, while there were greater differences for Brovey fused image in Mean and Stdev and the relative errors were -16.04% and 64.88%. Additionally, WV-3 has more clear spatial stereo and edges compared to GF-1 with the same spatial resolution.

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