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浏览/检索结果: 共16条，第1-10条 帮助

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Reconstruction quality evaluation of compressed sensing image mapping spectrometer 会议论文  OAI收割
Beijing, China, 2023-07-25
作者:  Yang, Shuya;  Ding, Xiaoming;  Yuan, Hao;  Lu, Dunqiang;  Yan, Qiangqiang
  |  收藏  |  浏览/下载：6/0  |  提交时间：2024/08/13
Remote Sensing Image Compression in Visible Near-Infrared Range Using Heterogeneous Compressive Sensing 期刊论文  OAI收割
Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 卷号: 11, 期号: 12, 页码: 4932-4938
作者:  Li, J.;  Fu, Y.;  Li, G. N.;  Liu, Z. L.
  |  收藏  |  浏览/下载：41/0  |  提交时间：2019/09/17
Structural optimization of measurement matrix in image reconstruction based on compressed sensing 会议论文  OAI收割
作者:  Ziran, Wei;  Huachuang, Wang;  Jianlin, Zhang
  |  收藏  |  浏览/下载：40/0  |  提交时间：2018/12/20
Study on classification methods of remote sensing image based on decision tree technology 会议论文  OAI收割
2011 International Conference on Computer Science and Service System, CSSS 2011, Nanjing, China, June 27, 2011 - June 29, 2011
Shen Wenming(申文民); Wu Guozeng; Sun Zhongping; Xiong Wencheng; Fu Zhuo; Xiao Rulin
收藏  |  浏览/下载：51/0  |  提交时间：2011/11/17
Design of multispectral remote sensing image compression system (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China
作者:  Xu S.-Y.
收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25
In order to get the higher compression quality of multispectral remote sensing image  which taken the JPEG2000 as the standard  used FPGA and special compression chip ADV212 to realize the remote sensing image compression system is proposed. The system used the specialty compression chip ADV212 which is newly relaesed by Analog Device company. It used to develop fast high-quality compression for the large amount of remote sensing image data. The system realized the image data's input  the compression stream's output  the image preprocessing as well as to control the ADV212 chip's working pattern through FPGA. The experiment result shows that this system which has such characteristics as low power consumption. low cost and easy adjustmen and has a good compressing effect. Meet the requirement of the multispectral remote sensing image's high compression ratio. 2010 IEEE.  
An improved fast parallel SPIHT algorithm and its FPGA implementation (EI CONFERENCE) 会议论文  OAI收割
2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China
作者:  Jin L.-X.;  Tao H.-J.;  Wu Y.-H.
收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25
In view of the current stringent need to the real-time compression algorithm of the high-speed and high-resolution image  such as remote sensing or medical image and so on  in this paper  No List SPIHT (NLS) algorithm has been improved  and a fast parallel SPIHT algorithm is proposed  which is suitable to implement with FPGA. It can deal with all bit-planes simultaneously  and process in the speed of 4pixels/period  so the encoding time is only relative to the image resolution. The experimental results show that  the processing capacity can achieve 200MPixels/s  when the input clock is 50MHz  the system of this paper need 2.29ms to complete lossless compression of a 512x512x8bit image  and only requires 1.31ms in the optimal state. The improved algorithm keeps the high SNR unchanged  increases the speed greatly and reduces the size of the needed storage space. It can implement lossless or lossy compression  and the compression ratio can be controlled. It could be widely used in the field of the high-speed and high-resolution image compression. 2010 IEEE.  
A thermal noise suppression method for increasing lossless compression ratio of the remote sensing images 会议论文  OAI收割
2nd International Conference on Computer and Automation Engineering, ICCAE 2010,, Singapore, Singapore, February 26, 2010 - February 28,2010
Wu; Chi, Yaobin; Wang, Zhiyong
收藏  |  浏览/下载：42/0  |  提交时间：2014/12/07
Real-time matching algorithm of navigation image based on corner detection (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, June 17, 2009 - June 19, 2009, Beijing, China
作者:  Zhang T.
收藏  |  浏览/下载：46/0  |  提交时间：2013/03/25
In order to meet requirement of real-time and high accuracy in image matching aided navigation  SSDA algorithm is used to match remote sensing image and template image coarsely  a fast and effective algorithm of remote sensing image matching based on corner detection is put forward. With the combination of rough and fine match  when the matching result is bigger than one to count absolute value sum of energy difference of characteristic point energy to realize fine match of remote sensing image and template image to locate the position of template image in remote sensing image accurately. Simulation experiment proves that the matching of a remote sensing image resolution of 1018*1530 and a template image resolution of 150*90 can be fulfilled within 2.392 second  wavelet transform is used to acquire low frequency component to realize image compression to decrease calculation work and increase matching speed. Harris corner detection algorithm is used to detect corner of remote sensing image and template image and energy of every corner is calculated  the algorithm is robust and effective  real time image navigation can be achieved. 2009 SPIE.  
Hyperspectral image compression using bands combination wavelet transformation 会议论文  OAI收割
MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, Yichang, China, October 30, 2009 - November 1,2009
Wang, Wenjie; Zhao, Zhongming; Zhu, Haiqing
收藏  |  浏览/下载：38/0  |  提交时间：2014/12/07
A PDE-based noise suppression method of contaminated remote sensing images generated by increasing CCD integration time 会议论文  OAI收割
2009 International Conference on Information Engineering and Computer Science, ICIECS 2009,, Wuhan, China, December 19, 2009 - December 20,2009
Wu; Chi, Yaobin; Wang, Zhiyong
收藏  |  浏览/下载：39/0  |  提交时间：2014/12/07