CORC

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Fast Multispectral Fusion and High-Precision Interdetector Image Stitching of Agile Satellites Based on Velocity Vector Field 期刊论文
Ieee Sensors Journal, 2022, 卷号: 22, 期号: 22, 页码: 22134-22147
作者:  J. M. Du;  X. B. Yang;  M. L. Zhou;  Z. M. Tu;  S. E. Wang
收藏  |  浏览/下载:0/0  |  提交时间:2023/06/14
Ship Detection in Multispectral Remote Sensing Images via Saliency Analysis 期刊论文
Applied Ocean Research, 2021, 卷号: 106
作者:  W. Wang;  J. Ren;  C. Su and M. Huang
收藏  |  浏览/下载:2/0  |  提交时间:2022/06/13
Irradiance Restoration Based Shadow Compensation Approach for High Resolution Multispectral Satellite Remote Sensing Images 期刊论文
Sensors, 2020, 卷号: 20, 期号: 21, 页码: 23
作者:  H. Y. Han,C. S. Han,L. Huang,T. J. Lan and X. C. Xue
收藏  |  浏览/下载:2/0  |  提交时间:2021/07/06
Energy-based cloud detection in multispectral images based on the SVM technique 期刊论文
International Journal of Remote Sensing, 2019, 卷号: 40, 期号: 14, 页码: 5530-5543
作者:  Y.L.Sui;  B.He;  T.J.Fu
收藏  |  浏览/下载:1/0  |  提交时间:2020/08/24
Dynamic range extending method for push-broom multispectral remote sensing cameras 期刊论文
Chinese Optics, 2019, 卷号: 12, 期号: 4, 页码: 905-912
作者:  W.Sun;  C.-S.Han;  H.-Y.Lv;  X.-C.Xue;  C.-H.Hu
收藏  |  浏览/下载:0/0  |  提交时间:2020/08/24
Near-infrared Image Simulation Based on Spectral Correlation Method 期刊论文
Acta Photonica Sinica, 2018, 卷号: 47, 期号: 4
作者:  Wu Hong-yu, 武红宇;  Wang Ling-li, 王灵丽;  Zhong Xing, 钟兴;  Su Zhi-qiang, 苏志强;  Chen Guan-zhou, 陈关州
收藏  |  浏览/下载:7/0  |  提交时间:2019/09/17
Noise Model of a Multispectral TDI CCD Imaging System and Its Parameter Estimation of Piecewise Weighted Least Square Fitting 期刊论文
Ieee Sensors Journal, 2017, 卷号: 17, 期号: 12
作者:  Zheng, L. L.;  G. Jin;  W. Xu;  H. S. Qu and Y. Wu
收藏  |  浏览/下载:19/0  |  提交时间:2018/06/13
Multiwavelet based multispectral image fusion for corona detection (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Wang X.; Yan F.; Sui Y.-X.; Yang H.-J.; Pang Y.-J.
收藏  |  浏览/下载:14/0  |  提交时间:2013/03/25
Image fusion refers to the integration of complementary information provided by various sensors such that the new images are more useful for human or machine perception. Multiwavelet transform has simultaneous orthogonality  symmetry  compact support  and vanishing moment  which are not possible with scalar wavelet transform. Multiwavelet analysis can offer more precise image analysis than wavelet multiresolution analysis. In this paper  a new image fusion algorithm based on discrete multiwavelet transform (DMWT) to fuse the dual-spectral images generated from the corona detection system is presented. The dual-spectrum detection system is used to detect the corona and indicate its exact location. The system combines a solar-blind UV ICCD with a visible camera  where the UV image is useful for detecting UV emission from corona and the visible image shows the position of the corona. The developed fusion algorithm is proposed considering the feature of the UV and visible images adequately. The source images are performed at the pixel level. First  a decomposition step is taken with the DMWT. After the decomposition step  a pyramid for each source image in each level can be obtained. Then  an optimized coefficient fusion rule consisting of activity level measurement  coefficient combining and consistency verification is used to acquire the fused coefficients. This process reduces the impulse noise of UV image. Finally  a new fused image is obtained by reconstructing the fused coefficients using inverse DMWT. This image fusion algorithm has been applied to process the multispectral UV/visible images. Experimental results show that the proposed method outperforms the discrete wavelet transform based approach.  


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