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Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE) 会议论文  OAI收割
2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico
作者:  
Liu Y.;  Liu Y.;  Liu Y.
收藏  |  浏览/下载:37/0  |  提交时间:2013/03/25
Image registration is a key technique in pattern recognition and image processing  and it is widely used in many application areas such as computer vision  remote sensing  image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly  feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then  pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then  the well match points are used to estimate the best affine transform parameters by least squares minimization. At last  the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.  
Study on Automatic Detection of Airplane Object in Remote Sensing Images 会议论文  OAI收割
3rd Internationa Conference on Fuzzy Information and Engineering (ICFIE 2009), Chongqing, PEOPLES R CHINA, SEP 26-29, 2009
Yang, Guang; Zhang, Bai; Wang, Xiao-Juan; Ren, Chun-Ying; Chen, Ke-Xiong; Wang, Zong-Ming; Zhang, Yong
收藏  |  浏览/下载:19/0  |  提交时间:2011/07/20
Study on remotely sensed image fusion method based on FFT and CIELab transform 期刊论文  OAI收割
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University, 2009, 卷号: 34, 期号: 8, 页码: 924-927
Chen; Luo; Li; Shen; Sheng1; Jiancheng1; Junli2; Zhanfeng1
收藏  |  浏览/下载:26/0  |  提交时间:2011/08/19
图像对应点确定及其应用 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2007
万崇玮
收藏  |  浏览/下载:79/0  |  提交时间:2015/09/02
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:27/0  |  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.