Analysis of image fusion and classification for high resolution SAR data on-line
SAR and optical remote sensing image, with highly complementary characteristics, can enhance the integration of information utilization of remote sensing data. Adopting the new Cosmo-Skymed SAR highresolution image data, we inhibit speckle impact using enhanced Lee filtering. Then we fused this image with a CBERS image using local use standard deviation based on wavelet packet method. Because of fully integrating the characteristics of each image, it can retain the spectral characteristics and details of properties to the maximum extent, improve signal-to-noise ratio, and be conducive to information extraction. The experiments show that the automatic classification accuracy significantly increased and classification Kappa coefficient increased from 0.47 to 0.93 after fusion of CosmoSkymed and CBERS02 data. Meanwhile, This paper employ a geospatial information processing concept model complied interoperable system framework and an implementation approach for accessing geospatial information openly by chaining individual service module to assemble complex geospatial processing and executing the processing model to deliver information.
high resolution SAR CBERS02 image fusion wavelet packet
ZHANG Deng-hui ZHANG Han-kui XIE Bin HUANG Zhao-quan YU Le CAO Yun-yun
College of Information and Technology,Zhejiang Shuren University,Hangzhou 3100l5, China Department of Earth Sciences Zhejiang University Hangzhou, P.R.China, 310027 Zhejiang 2ed Institute of Surveying and Mapping Hangzhou, P.R.China, 310012
国际会议
上海
英文
267-271
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）