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检索条件"任意字段=Conference on Image and Signal Processing for Remote Sensing XXIV"
3576 条 记 录,以下是11-20 订阅
排序:
Domain Generalized Object Detection for remote sensing images  31
Domain Generalized Object Detection for Remote Sensing Image...
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31st IEEE conference on signal processing and Communications Applications (SIU)
作者: Durakli, Efkan Aptoula, Erchan Gebze Tech Univ Dept Comp Engn Kocaeli Turkiye Sabanci Univ Fac Engn & Nat Sci Istanbul Turkiye
Building roof type detection from remotely sensed images is a crucial task for many remote sensing applications, including urban planning and disaster management. In recent years, deep learning-based object detection ... 详细信息
来源: 评论
GABOR FEATURE NETWORK FOR TRANSFORMER-BASED BUILDING CHANGE DETECTION MODEL IN remote sensing  31
GABOR FEATURE NETWORK FOR TRANSFORMER-BASED BUILDING CHANGE ...
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2024 International conference on image processing
作者: Osa, Priscilla Indira Zerubia, Josiane Kato, Zoltan Univ Genoa DITEN Dept Genoa Italy Univ Cote Azur INRIA Nice France Univ Szeged Inst Informat Szeged Hungary J Selye Univ Komarno Slovakia
Detecting building change in bitemporal remote sensing (RS) imagery requires a model to highlight the changes in buildings and ignore the irrelevant changes of other objects and sensing conditions. Buildings have comp... 详细信息
来源: 评论
A remote sensing image de-noising method based on wavelet packet decomposition and information entropy threshold function
A remote sensing image de-noising method based on wavelet pa...
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2024 International conference on image, signal processing, and Pattern Recognition, ISPP 2024
作者: Ma, Hongjin Zhao, Jiayu Zhang, Weiwei School of Science Xi'an University of Architecture and Technology Shaanxi Xi'an710055 China School of Mathematics and Statistics Northwestern Polytechnical University Shaanxi Xi'an710072 China
remote sensing images are widely used in various fields, such as geographic information systems, environmental monitoring, and agricultural management. However, remote sensing images are often corrupted by various noi... 详细信息
来源: 评论
A lightweight object detection network based on YOLOv5 for SAR image  2
A lightweight object detection network based on YOLOv5 for S...
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2nd IEEE International conference on signal, Information and Data processing, ICSIDP 2024
作者: Shen, Aijia Zhao, Liangbo Xu, Fanyun Wang, Guoqing Liu, Wenchao Shen, Zimeng Beijing Institute of Technology National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing Beijing China Institute of Remote Sensing Satellite China Academy of Space Technology Beijing China
remote sensing image target detection is one of the key technologies in the field of intelligent interpretation of remote sensing images, and it has significant application value in various areas, including military d... 详细信息
来源: 评论
Hazy remote sensing image Semantic Segmentation with Weak Annotations via Pre-training Optimization and Co-training
Hazy Remote Sensing Image Semantic Segmentation with Weak An...
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2025 IEEE International conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Xu, Junda Zhang, Libao School of Artificial Intelligence Beijing Normal University Beijing100875 China
In recent years, weakly supervised semantic segmentation has emerged as a prominent research topic in the field of remote sensing image semantic segmentation due to its cost-effective labeling advantages. However, the... 详细信息
来源: 评论
Bag-of-Visual-Words Feature Extraction using Graph Convolutional Networks  7
Bag-of-Visual-Words Feature Extraction using Graph Convoluti...
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IEEE 7th International conference on Advanced Technologies, signal and image processing (ATSIP)
作者: Mastour, Montassar Farah, Mohamed Univ Manouba RIADI LR99ES26 ISAMM Univ Campus Manouba Manouba 2010 Tunisia
Feature representations are the fundamental building blocks for various image analysis tasks like retrieval and classification. Traditionally, the Bag-of-Visual-Words (BoVW) framework has been a well-established appro... 详细信息
来源: 评论
remote sensing image UNEVEN HAZE REMOVAL BASED ON HAZE DENSITY ESTIMATION AND SALIENCY-DRIVEN DUAL CHANNEL FUSION  31
REMOTE SENSING IMAGE UNEVEN HAZE REMOVAL BASED ON HAZE DENSI...
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2024 International conference on image processing
作者: Liu, Yanmeng Zhang, Libao Beijing Normal Univ Sch Artificial Intelligence Beijing 100875 Peoples R China
remote sensing images (RSIs) are usually degraded by haze, losing the spectral fidelity and texture details. Most previous dehazing works adopted a unified dehazing strategy to process the entire image, ignoring the d... 详细信息
来源: 评论
PHASE LEARNING BASED ON INTERACTIVE PERCEPTION FOR LIMITED-SAMPLE RESIDENTIAL AREA SEMANTIC SEGMENTATION  49
PHASE LEARNING BASED ON INTERACTIVE PERCEPTION FOR LIMITED-S...
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49th IEEE International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Lyu, Xinran Zhang, Libao Beijing Normal Univ Sch Artificial Intelligence Beijing 100875 Peoples R China
Due to the rich details of residential areas and the characteristics of remote sensing image sharpness vulnerable to haze, it will not only consume a lot of labor costs but also be very difficult to produce a large-sc... 详细信息
来源: 评论
SlotFusion: Object-Centric Audiovisual Feature Fusion with Slot Attention for remote sensing Scene Recognition
SlotFusion: Object-Centric Audiovisual Feature Fusion with S...
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2025 IEEE International conference on Acoustics, Speech, and signal processing, ICASSP 2025
作者: Han, Fangzhou Yu, Tianyi Zhang, Lamei Si, Lingyu Zhang, Yiqi Dept. of Information Engineering Harbin Institute of Technology Harbin China National Key Laboratory of Space Integrated Information System Institute of Software Chinese Academy of Sciences Beijing China Institute of Software Chinese Academy of Sciences Beijing China
Despite significant advancements in remote sensing multimodal learning, particularly in image-image feature fusion, the exploration of audio-image feature fusion remains insufficient. Given the complexity and redundan... 详细信息
来源: 评论
Efficient Vision Mamba with Dynamic Feature Fusion for remote sensing image Semantic Segmentation  2
Efficient Vision Mamba with Dynamic Feature Fusion for Remot...
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2nd IEEE International conference on signal, Information and Data processing, ICSIDP 2024
作者: Liu, Chenchen Cao, Yice Jiang, Dingkun Wu, Zhenhua Hu, He Huang, Zhixiang Anhui University School of Electronic and Information Engineering Hefei230601 China
The improvement in imaging resolution and the increase in imaging swath of remote sensing satellites have enabled the acquisition of vast and complex remote sensing image data. Effectively and comprehensively extracti... 详细信息
来源: 评论