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检索条件"任意字段=Image Processing and Pattern Recognition in Remote Sensing"
7878 条 记 录,以下是61-70 订阅
Advanced Fuzzy Denoising Technique for Agricultural remote sensing: Modified Partition Filter for Suppressing Impulsive
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IEEE ACCESS 2024年 12卷 159025-159035页
作者: Alhatami, Emadalden Aslam, Bhatti Uzair Huang, Mengxing Feng, Siling Hainan Univ Sch Informat & Commun Engn Haikou 570100 Peoples R China
image denoising is a critical challenge in digital image processing, particularly when dealing with random-value impulse noise (RVIN). Existing methods for RVIN detection and removal often struggle with poor generaliz... 详细信息
来源: 评论
U-ONet: remote sensing image semantic labelling based on octave convolution and coordination attention in U-shape deep neural network
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ELECTRONICS LETTERS 2024年 第20期60卷
作者: Hu, Qiongqiong Wang, Feiting Wu, Yuechao Li, Ying Northwestern Polytech Univ Sch Comp Sci Xian Peoples R China Qinghai Univ Sch Comp Technol & Applicat Xining Peoples R China Qinghai Univ Intelligent Comp & Applicat Lab Qinghai Prov Xining Peoples R China
Semantic labelling of remote sensing images is crucial for various remote sensing applications. However, the dense distribution of man-made and natural objects with similar colours and geographic proximity poses chall... 详细信息
来源: 评论
Improved YOLOv5's remote sensing image detection algorithm
Improved YOLOv5's remote sensing image detection algorithm
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2024 International Conference on image, Signal processing, and pattern recognition, ISPP 2024
作者: Chen, Naikang Zhang, Jinmin School of Mechanical Engineering Lanzhou Jiaotong University Gansu Lanzou730070 China
Addressing the challenges inherent in remote sensing image detection, notably the YOLOv5 detector's subpar accuracy due to limited detection target features, intricate detection backgrounds, and predominantly smal... 详细信息
来源: 评论
Deep learning techniques for remote sensing image scene classification: A comprehensive review, current challenges, and future directions
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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2023年 第22期35卷 e7733-e7733页
作者: Kumari, Monika Kaul, Ajay Shri Mata Vaishno Devi Univ Sch Comp Sci & Engn Katra Jammu And Kashm India
Since last decade, deep learning has made exceptional progress in various fields of artificial intelligence including image and voice recognition, natural language processing. Inspired by these successes, researchers ... 详细信息
来源: 评论
A lossless compression of remote sensing images based on ANS entropy coding algorithm  12
A lossless compression of remote sensing images based on ANS...
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SPIE 12th International Symposium on Multispectral image processing and pattern recognition, MIPPR 2023
作者: Dawei, Wang Yaozong, Zhang Wuhan University of Engineering Wuhan430000 China
Large-format, information-dense satellite-based remote sensing pictures are in conflict with the restricted bandwidth for return transmission to the ground, necessitating the development of appropriate remote sensing ... 详细信息
来源: 评论
Cross-Perception and Hierarchical Similarity Metric Network for remote sensing image Change Detection
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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND remote sensing 2024年 17卷 13925-13935页
作者: Qu, Haicheng Zhang, Lijuan Liaoning Univ Engn & Technol Huludao 125105 Peoples R China
Change detection (CD) is a fundamental operation in remote sensing image interpretation. This process employs a range of image processing and recognition techniques to identify semantic alterations in the same geograp... 详细信息
来源: 评论
Semantic segmentation of landslide image using DeepLabv3+and completed local binary pattern
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JOURNAL OF APPLIED remote sensing 2025年 第1期19卷
作者: Wang, Wei Zhang, Zhihua Zhu, Xinyu Yang, Shuwen Lanzhou Jiaotong Univ Fac Geomat Lanzhou Gansu Peoples R China Natl Local Joint Engn Res Ctr Technol & Applicat Natl Geog State Monitoring Lanzhou Gansu Peoples R China Key Lab Sci & Technol Surveying & Mapping Lanzhou Gansu Peoples R China
Landslide identification is an important task in the field of geologic disaster monitoring and early warning, which is of great significance for improving social safety and mitigating the impact of disasters. With the... 详细信息
来源: 评论
PolSAR Target recognition With CNNs Optimizing Discrete Polarimetric Correlation pattern
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IEEE TRANSACTIONS ON GEOSCIENCE AND remote sensing 2024年 62卷 1页
作者: Lin, Huiping Yang, Jian Xu, Feng Fudan Univ Key Lab Informat Sci Electromagnet Waves MoE Shanghai 200433 Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China
Target recognition plays a crucial role in the intelligent interpretation of synthetic aperture radar (SAR) images. However, polarimetric information holding great potential in target recognition has not been fully st... 详细信息
来源: 评论
Land cover classification of UAV visible remote sensing based on superpixel
Land cover classification of UAV visible remote sensing base...
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2024 International Conference on image, Signal processing, and pattern recognition, ISPP 2024
作者: Zeng, Yushuang College of Computer and Information Science Chongqing Normal University Chongqing401331 China
Because of the convenience and low cost of obtaining visible remote sensing images of UAV, it is widely used in agricultural production. In land cover classification, in order to obtain more homogeneous superpixels of... 详细信息
来源: 评论
SyntStereo2Real: Edge-Aware GAN for remote sensing image-to-image Translation while Maintaining Stereo Constraint
SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-...
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IEEE/CVF Conference on Computer Vision and pattern recognition (CVPR)
作者: Venkatesan, Vasudha Panangian, Daniel Reyes, Mario Fuentes Bittner, Ksenia Univ Freiburg Freiburg Germany German Aerosp Ctr DLR Cologne Germany
In the field of remote sensing, the scarcity of stereo-matched and particularly lack of accurate ground truth data often hinders the training of deep neural networks. The use of synthetically generated images as an al... 详细信息
来源: 评论