中国科学院机构知识库网格系统: 检索

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	Spatiotemporal patterns and drivers of public concern about air pollution in China: Leveraging online big data and interpretable machine learning 期刊论文 OAI收割 ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2025, 卷号: 114, 页码: 107897 作者: Xu, Gang; Liu, Haimeng; Jia, Chunwang; Zhou, Tianyu; Shang, Jing \| 收藏 \| 浏览/下载：7/0 \| 提交时间：2025/04/21 Public environmental concern Air quality Environmental perception Machine learning XGBoost-SHAP Environmental assessment Environmental governance
	Lifelong robotic visual-tactile perception learning 期刊论文 OAI收割 Pattern Recognition, 2022, 卷号: 121, 页码: 1-12 作者: Dong JH(董家华); Cong Y(丛杨); Sun G(孙干); Zhang T(张涛) \| 收藏 \| 浏览/下载：53/0 \| 提交时间：2021/08/12 Lifelong machine learning Robotics Visual-tactile perception Cross-modality learning Multi-task learning
	基于功能磁共振成像的跨种族面孔加工神经机制研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院大学, 2013 作者: 冯璐收藏 \| 浏览/下载：100/0 \| 提交时间：2015/09/02 脑功能功能磁共振成像面孔感知跨种族效应机器学习 human brain function functional magnetic resonance imaging face perception cross-race effect machine learning
	Shadow detection for color remotely sensed images based on multi-feature integration 期刊论文 OAI收割 journal of applied remote sensing, 2012, 卷号: 6, 页码: 063521 作者: Liu, Jiahang; Li, Deren; Fang, Tao 收藏 \| 浏览/下载：37/0 \| 提交时间：2012/09/04 shadow detection multi-feature integration image segmentation color remotely sensed images perception machine
	Progress and challenge of artificial intelligence 期刊论文 OAI收割 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2006, 卷号: 21, 期号: 5, 页码: 810-822 作者: Shi, Zhong-Zhi; Zheng, Nan-Ning \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2019/12/16 artificial intelligence visual perception machine learning agent computing semantic web intelligence science
	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：29/0 \| 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.