Paper
14 December 2015 Remote sensing fusion based on guided image filtering
Author Affiliations +
Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 98150H (2015) https://doi.org/10.1117/12.2205139
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
In this paper, we propose a novel remote sensing fusion approach based on guided image filtering. The fused images can well preserve the spectral features of the original multispectral (MS) images, meanwhile, enhance the spatial details information. Four quality assessment indexes are also introduced to evaluate the fusion effect when compared with other fusion methods. Experiments carried out on Gaofen-2, QuickBird, WorldView-2 and Landsat-8 images. And the results show an excellent performance of the proposed method.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wenfei Zhao, Qinling Dai, and Leiguang Wang "Remote sensing fusion based on guided image filtering", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98150H (14 December 2015); https://doi.org/10.1117/12.2205139
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KEYWORDS
Image fusion

Image filtering

Remote sensing

Image enhancement

Image quality

Spatial resolution

Earth observing sensors

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