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Building Extraction from High-resolution Remotely Sensed Imagery based on Morphology Characteristics 会议论文  OAI收割
Proceedings of SPIE-The International Society for Optical Engineering
Xu X. L.; Feng X. F.; Wang C. H.
收藏  |  浏览/下载:19/0  |  提交时间:2012/06/30
A new spaceborne compression approach for remote sensing imagery (EI CONFERENCE) 会议论文  OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Xu S.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
After analyzing advantages and disadvantages of these typical encoding methods: SPIHT and VQ  a "DWT+MRLE" approach for spaceborne data compression was proposed in this paper. This approach includes two steps: Discrete Wavelet Transform (DWT) and Modified Run Length Encoding (MRLE). The former used CDF9/7 biorthogonal wavelet filters to powerfully get rid of correlation between pixels in imagery. The later put enlightening information into the lowest bit of some key-position transform coefficients. Consequently  CDF9/7 and MRLE together make hardware platform remain high real-time capability  and help reconstructed images keep good fidelity with PSNR being about 40dB  compared with the original ones. Comparison between experimentations on SPOT4's low-spatial-resolution (10m) imagery and Ikonos2's high-spatial-resolution (1m) imagery  shows this "DWT+MRLE" method having better performance for remote-sensed imagery  especially those of higher resolution. Although inferior to 8:1  Compression Ration (CR) here near 5:1 is greater than France SPOT5's 3:1 and American Ikonos2's 11:2.6 on-board data compression. More important  this method having less computational amount is good for spaceborne capability of real time. The consumed time of different image size is also presented in this paper  based on TI TMSC6416 DSP chip with 600MHz CPU cycle clock.  
Measuring long-term ecological changes in densely populated landscapes using current and historical high resolution imagery SCI/SSCI论文  OAI收割
2006
Ellis E. C.; Wang H. Q.; Xiao H. S.; Peng K.; Liu X. P.; Li S. C.; Ouyang H.; Cheng X.; Yang L. Z.
收藏  |  浏览/下载:21/0  |  提交时间:2012/06/08
Measuring long-term ecological changes in densely populated landscapes using current and historical high resolution imagery 期刊论文  OAI收割
Remote Sensing of Environment, 2006, 卷号: 100, 期号: 4, 页码: 457-473
作者:  
Ellis E. C.;  Wang H. Q.;  Xiao H. S.;  Peng K.;  Liu X. P.
  |  收藏  |  浏览/下载:30/0  |  提交时间:2012/06/08