CORC

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CORC

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Monitoring drought dynamics in China using Optimized Meteorological Drought Index (OMDI) based on remote sensing data sets 期刊论文
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 卷号: 292, 页码: 14
作者:  Wei, Wei;  Zhang, Jing;  Zhou, Junju;  Zhou, Liang;  Xie, Binbin
收藏  |  浏览/下载：48/0  |  提交时间：2021/08/19
Local Adaptive Calibration of the Satellite-Derived Surface Incident Shortwave Radiation Product Using Smoothing Spline 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 卷号: 54, 期号: 2, 页码: 1156-1169
作者:  Chen, ZQ (Chen, Zhuoqi);  Jiang, B (Jiang, Bo);  Zhang, XT;  Liang, SL;  Zhang, XT (Zhang, Xiaotong)
收藏  |  浏览/下载：25/0  |  提交时间：2017/11/08
A variable precision rough set approach to the remote sensing land use/cover classification 期刊论文
Computers & geosciences, 2010, 卷号: 36, 期号: 12, 页码: 1466-1473
作者:  Pan, Xin;  Zhang, Shuqing;  Zhang, Huaiqing;  Na, Xiaodong;  Li, Xiaofeng
收藏  |  浏览/下载：24/0  |  提交时间：2019/05/10
Improvement of urban land use and land cover classification approach in arid areas 会议论文
Proceedings of SPIE - The International Society for Optical Engineering, Image and Signal Processing for Remote Sensing XVI, Toulouse, France, 2010
Qian; Jing1; 2; Zhou; Qiming1; Chen; Xi2
收藏  |  浏览/下载：26/0  |  提交时间：2011/08/23
Application of spatio-temporal data mining and knowledge discovery for detection of vegetation degradation: Analysis of time-series remote sensing images using spatial statistics method 会议论文
2010-08-10
Hou,Xi-Yong; Han,Lei; Gao,Meng; Bi,Xiao-Li; Zhu,Ming-Ming
收藏  |  浏览/下载：13/0  |  提交时间：2011/07/22
Rough set-derived measures in image classification accuracy assessment EI期刊论文
2009
作者:  Feng Xianfeng;  Ge Yong
收藏  |  浏览/下载：16/0  |  提交时间：2012/06/11
分割彩色纹理图像的多通道统计地形特征方法 期刊论文
模式识别与人工智能, 2007, 卷号: 20, 期号: 6, 页码: 782-787
作者:  陈运文;  许存禄
收藏  |  浏览/下载：2/0  |  提交时间：2016/07/15
Enhancing forest carbon sequestration in China: Toward an integration of scientific and socio-economic perspectives SCI/SSCI论文
2007
作者:  Pan J.
收藏  |  浏览/下载：18/0  |  提交时间：2012/06/08
Compression of remote sensing image based on Listless Zerotree Coding and DPCM (EI CONFERENCE) 会议论文
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Chen S.-L.; Huang L.-Q.
收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25
The data quantity of remote sensing image is very large. Furthermore  the lowest frequency subband contains the main energy of original image and reflects the coarse of original image after remote sensing image is transformed by wavelet  so it is very important to the reconstructed image. Therefore a hybrid image compression method based on Listless Zerotree Coding (LZC) and DPCM is presented  namely  the lowest frequency subband is compressed by DPCM and others are compressed by LZC. LZC is a kind of zerotree coding algorithm for hardware implementation  which is based on SPIHT and substitutes two significant bit maps for three lists in SPIHT algorithm. Thereby LZC significantly reduces the memory requirement and complexity during encoding and decoding procedure. But LZC doesn't recognize the significance of grandchild sets  so the PSNR values of LZC are lower than SPIHT's and the compression speed drops. It is improved by adding a significant bit map that recognizes the significance of grandchild sets. A comparison reveals that the PSNR results of the hybrid compression method are 2 dB higher than those of LZC  and the compression speed is also improved.  

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