中国科学院机构知识库网格系统: 检索

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	RaHFF-Net: Recall-Adjustable Hierarchical Feature Fusion Network for Remote Sensing Image Change Detection 期刊论文 OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 176-190 作者: Wang, Bin; Zhao, Kang; Xiao, Tong; Qin, Pinle; Zeng, Jianchao \| 收藏 \| 浏览/下载：4/0 \| 提交时间：2025/03/18 Feature extraction Transformers Semantics Lighting Data mining Tensors Correlation Noise Indexes Adaptation models Change detection (CD) hyperexpectation push pull (HEPP) loss multiscale feature fusion transformer
	WSMsFNet: Joint the Whole Supervision and Multiscale Fusion Network for Remote Sensing Image Change Detection 期刊论文 OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 14656-14669 作者: Wang, Bin; Jiang, Xiaohu; Qin, Pinle; Zeng, Jianchao \| 收藏 \| 浏览/下载：13/0 \| 提交时间：2024/10/21 Feature extraction Transformers Data mining Correlation Semantics Context modeling Accuracy Change detection convolutional neural network (CNN) multiscale feature (MSF) fusion the whole process supervision transformer
	MFAENet: A Multiscale Feature Adaptive Enhancement Network for SAR Image Despeckling 期刊论文 OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 卷号: 16, 页码: 10420-10433 作者: Liu, Shuaiqi; Zhang, Luyao; Tian, Shikang; Hu, Qi; Li, Bing \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2024/02/22 Adaptive fusion feature enhancement multiscale feature speckle suppression synthetic aperture radar (SAR) images
	Unsupervised Balanced Hash Codes Learning With Multichannel Feature Fusion 期刊论文 OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 2816-2825 作者: Chen, Yaxiong; Zhao, Dongjie; Lu, Xiongbo; Xiong, Shengwu; Wang, Huangting \| 收藏 \| 浏览/下载：41/0 \| 提交时间：2022/05/07 Feature extraction Codes Data mining Convolution Linear programming Approximation algorithms Semantics Deep hash codes multichannel feature fusion multiscale context information unsupervised hashing learning
	Spatiotemporal Remote Sensing Image Fusion Using Multiscale Two-Stream Convolutional Neural Networks 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 12 作者: Chen, Yuehong; Shi, Kaixin; Ge, Yong; Zhou, Ya'nan \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2022/09/21 Spatial resolution Image resolution Feature extraction Convolutional neural networks Remote sensing Spatiotemporal phenomena Sensors Multiscale feature spatiotemporal image fusion two-stream convolutional neural networks
	Spatiotemporal Remote Sensing Image Fusion Using Multiscale Two-Stream Convolutional Neural Networks 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 12 作者: Chen, Yuehong; Shi, Kaixin; Ge, Yong; Zhou, Ya'nan \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2022/09/21 Spatial resolution Image resolution Feature extraction Convolutional neural networks Remote sensing Spatiotemporal phenomena Sensors Multiscale feature spatiotemporal image fusion two-stream convolutional neural networks
	Adaptive multiscale feature for object detection 期刊论文 OAI收割 Neurocomputing, 2021, 卷号: 449, 页码: 146-158 作者: Yu, Xiaoyong; Wu, Siyuan; Lu, Xiaoqiang; Gao, Guilong \| 收藏 \| 浏览/下载：38/0 \| 提交时间：2021/05/08 Object detection Classification network Backbone network Multiscale feature Feature fusion Adaptation Anchor Anchor-free
	Learnable Gated Convolutional Neural Network for Semantic Segmentation in Remote-Sensing Images 期刊论文 OAI收割 REMOTE SENSING, 2019, 卷号: 11, 期号: 16, 页码: 22 作者: Guo, Shichen; Jin, Qizhao; Wang, Hongzhen; Wang, Xuezhi; Wang, Yangang \| 收藏 \| 浏览/下载：86/0 \| 提交时间：2019/12/16 semantic segmentation CNN deep learning remote sensing gate function multiscale feature fusion