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	Fusion and Correction of Multi-Source Land Cover Products Based on Spatial Detection and Uncertainty Reasoning Methods in Central Asia 期刊论文 OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 23 作者: Liu, Keling; Xu, Erqi \| 收藏 \| 浏览/下载：45/0 \| 提交时间：2021/03/15 landcover spatial consistency improved Dempster-Shafer evidence theory statistics multi-source information fusion
	Fusion and Correction of Multi-Source Land Cover Products Based on Spatial Detection and Uncertainty Reasoning Methods in Central Asia 期刊论文 OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 23 作者: Liu, Keling; Xu, Erqi \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2021/03/15 landcover spatial consistency improved Dempster-Shafer evidence theory statistics multi-source information fusion
	Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease 期刊论文 OAI收割 ieee transactions on neural networks and learning systems, 2017, 卷号: 28, 期号: 7, 页码: 1508-1519 作者: Nie, Liqiang; Zhang, Luming; Meng, Lei; Song, Xuemeng; Chang, Xiaojun 收藏 \| 浏览/下载：35/0 \| 提交时间：2017/07/17 Disease progression modeling future health prediction multisource analysis source consistency temporal regularization
	A new image fusion algorithm based on wavelet transform (EI CONFERENCE) 会议论文 OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China 作者: He X.; Zhang Y.; Zhang L.-G.; Zhang L.-G. 收藏 \| 浏览/下载：13/0 \| 提交时间：2013/03/25 A new image fusion algorithm based on lifting wavelet transform is presented in this paper. The source images are decomposed using lifting wavelet transform respectively. Aiming at the coefficients of low frequency and high frequency this algorithm choose a different rule to fuse the image. To the low frequency the spatial frequency based on the neighborhood add consistency check is elected as the fusion guide. And the absolute maximum based on detail coefficients is selected as the guide to the high frequency. After that the fused image is obtained by using inverse lifting wavelet transform. Taking the ratio space frequency error and the mean gradient as criterions experimental results demonstrate that the algorithm is very effective. 2010 IEEE.
	Multiwavelet based multispectral image fusion for corona detection (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang X.; Yang H.-J.; Sui Y.-X.; Yan F.; Yan F. 收藏 \| 浏览/下载：30/0 \| 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.