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基于CNN的SAR ATR技术研究 学位论文  OAI收割
硕士, 北京: 中国科学院大学, 2018
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  |  收藏  |  浏览/下载:38/0  |  提交时间:2018/06/04
遥感数据传输容错技术研究 学位论文  OAI收割
硕士, 北京: 中国科学院研究生院, 2017
黄博阳
收藏  |  浏览/下载:20/0  |  提交时间:2017/06/07
一种适于空间CCD图像压缩的SPIHT改进算法 期刊论文  OAI收割
光电子.激光, 2013, 期号: 06, 页码: 1219-1224
作者:  
韩双丽;  金龙旭;  张柯
收藏  |  浏览/下载:24/0  |  提交时间:2014/03/07
探空火箭图像压缩算法研究 期刊论文  OAI收割
空间科学学报, 2012, 卷号: 32, 期号: 2, 页码: 289-297
作者:  
李国庆;  刘波;  于世强
收藏  |  浏览/下载:28/0  |  提交时间:2014/12/15
Image compression algorithm of high-speed SPIHT for aerial applications (EI CONFERENCE) 会议论文  OAI收割
2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011, May 27, 2011 - May 29, 2011, Xi'an, China
作者:  
Zhang K.;  Zhang K.;  Zhang K.;  Zhang K.
收藏  |  浏览/下载:38/0  |  提交时间:2013/03/25
SPIHT and NLS (Not List SPIHT) are efficient compression algorithms  but the algorithms application is limited by the shortcomings of the poor error resistance and slow compression speed in the aviation and other areas requiring high-speed compression. In this paper  the error resilience and the compression speed are improved. The remote sensing images are decomposed by Le Gall5/3 wavelet  and wavelet coefficients are indexed  scanned and allocated by the means of family blocks. The bit-plane importance is predicted by bitwise OR  so the N bit-planes can be encoded at the same time. Compared with the SPIHT algorithm  this modified algorithm is easy implemented by hardware  and the compression speed is improved. The PSNR of reconstructed images encoded by high-speed SPIHT is slightly lower than SPIHT at rate 1bpp  but the speed is 4.5-6 times faster than SPIHT encoding process. The algorithm meets the high speed and reliability requirements of aerial applications. 2011 IEEE.  
适于硬件实现的无损图像压缩 期刊论文  OAI收割
光学精密工程, 2011, 卷号: 19, 期号: 4, 页码: 922-928
作者:  
王建军;  刘波
收藏  |  浏览/下载:29/0  |  提交时间:2014/12/15
Image compression based on contourlet and no lists SPIHT (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:  
Zhang S.
收藏  |  浏览/下载:45/0  |  提交时间:2013/03/25
The volume of raw image data captured by the high resolution camera is extremely huge. Thus the efficient image compression method should be used to decrease the bit rate. The image compression method based on wavelet is used more widely nowadays. However  two dimensional wavelet is only the tensor product of the one dimensional wavelet whose support region of basis function is extended from interval to square. Contourlet is an image multiscale geometric analysis tool  which could represent image sparsely and has strong capability of nonlinear approximation. The basis function of contourlet is multidirectional and anisotropic. Nevertheless  contourlet is redundant. So the non-redundant Wavelet Based Contourlet Transform (WBCT) is used in this paper. The SPIHT algorithm is very efficient way to coding the significant coefficients. And the improved no lists SPIHT is more easy to implemented by hardware. Image compression method based on the combination of both wavelet based contourlet transform and no lists SPIHT coding is proposed in the paper. Experiment shows that compared to wavelet based scheme the contourlet scheme can reserve the texture of the image. For barbara test image when coding at low bit rate the PSNR can improve about 0.2dB. 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:19/0  |  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.  
一种改进的基于无链表SPIHT的图像压缩算法 期刊论文  OAI收割
科技导报, 2010, 卷号: 28, 期号: 6, 页码: 42-45
王建军; 刘波
收藏  |  浏览/下载:30/0  |  提交时间:2014/05/04
合成孔径雷达图像的高速传输方案研究 学位论文  OAI收割
硕士, 电子学研究所: 中国科学院电子学研究所, 2009
张明
收藏  |  浏览/下载:21/0  |  提交时间:2011/07/19