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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561-570 订阅
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Multiple classifier system for remotely sensed data clustering
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IET image processing 2022年 第1期16卷 252-260页
作者: Chaouche Ramdane, Lamia Fatma Houbaba Mahi, Habib El Habib Daho, Mostafa Lazouni, Mohammed El Amine Univ Tlemcen Lab Res Comp Sci PO119 Tilimsen Algeria Ctr Space Tech Arzew Algeria Univ Tlemcen Biomed Engn Lab Tilimsen Algeria
The Multiple Classifier System (or classifier ensemble) is the consensus of different clustering algorithms that can provide high accuracy for the best partition and thus overcome the constraints of conventional appro... 详细信息
来源: 评论
Simulation of chromatic and achromatic assessments for camouflage textiles and combat background
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JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS 2022年 第3期20卷 317-332页
作者: Anowar Hossain, Md RMIT Univ Sch Fash & Text Melbourne Vic Australia City Univ Dept Text Engn Dhaka Bangladesh
Chromatic and achromatic (AC) assessments of camouflage textiles have been critical to the defense researchers for concealment, detection, recognition, and identification (CDRI) of target signature against multidimens... 详细信息
来源: 评论
Semi-supervised PolSAR image Change Detection using Similarity Matching
Semi-supervised PolSAR Image Change Detection using Similari...
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ISPRS Technical Commission I Midterm Symposium on Intelligent sensing and remote sensing Application
作者: Wang, Lei Peng, Lingmu Hong, Hanyu Zhao, Shuwei Lv, Qiwen Gui, Rong Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Hubei Wuhan430205 China School of Geosciences and Info-physics Central South University Changsha410083 China
The lack of precisely labeled data limits the development of supervised polarimetric synthetic aperture radar (PolSAR) image change detection. Therefore, semi-supervised deep learning methods have recently demonstrate... 详细信息
来源: 评论
Overview of SAR image Fusion processing Techniques with Other Sensor Data  25
Overview of SAR Image Fusion Processing Techniques with Othe...
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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024
作者: Gao, Gemengyue Xin, Yu Li, Yingying Chen, Feng Feng, Xin Wang, Xueying Lin, Yuzhuoyue Zhou, Hongyuan Beijing Institute of Remote Sensing Information Beijing China
Synthetic Aperture Radar (SAR), with its all-weather and all-day operational capabilities and wide-area detection ability, has become an important means for global monitoring of terrain and oceans. The fusion processi... 详细信息
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CenterMamba: Enhancing semantic representation with center-scan Mamba network for hyperspectral image classification
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EXPERT SYSTEMS WITH APPLICATIONS 2025年 287卷
作者: Zhang, Tao Xuan, Chuanzhong Cheng, Fei Tang, Zhaohui Gao, Xinyu Song, Yaobang Inner Mongolia Agr Univ Coll Mech & Elect Engn Hohhot 010018 Peoples R China Inner Mongolia Engn Res Ctr Intelligent Facil Prat Hohhot 010018 Peoples R China Inner Mongolia Engn Res Ctr Intelligent Equipment Entire Proc Forage & Feed Pr Hohhot 010018 Peoples R China Guizhou Normal Univ Coll Educ Guiyang 550025 Peoples R China
Accurate hyperspectral image (HSI) classification and recognition are critical tasks in remote sensing image processing. Transformers have become a mainstream method for HSI classification due to their strong global m... 详细信息
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Enhanced visual detection of litchi fruit in complex natural environments based on unmanned aerial vehicle (UAV) remote sensing
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PRECISION AGRICULTURE 2025年 第1期26卷 1-24页
作者: Liang, Changjiang Liang, Juntao Yang, Weiguang Ge, Weiyi Zhao, Jing Li, Zhaorong Bai, Shudai Fan, Jiawen Lan, Yubin Long, Yongbing South China Agr Univ Coll Elect Engn Coll Artificial Intelligence Guangzhou 510642 Peoples R China Guangdong Lab Lingnan Modern Agr Guangzhou 510642 Peoples R China Natl Ctr Int Collaborat Res Precis Agr Aviat Pesti Guangzhou 510642 Peoples R China Minist Agr & Rural Affairs South China Smart Agr Publ Res & Dev Ctr Guangzhou 510642 Peoples R China
Rapid and accurate detection of fruits is crucial for estimating yields and making scientific decisions in litchi orchards. However, litchis grow in complex natural environments, characterized by variable lighting, se... 详细信息
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Streaming Point Cloud Segmentation of GNSS/SLAM-LiDAR and Multi-beam Scanning Sonar Data for Urban River Mapping  45
Streaming Point Cloud Segmentation of GNSS/SLAM-LiDAR and Mu...
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45th Asian Conference on remote sensing, ACRS 2024
作者: Nakagawa, Masafumi Kimura, Naoto Sadachika, Nozomi Komori, Takeshi Kubo, Nobuaki Shimizu, Etsuro Shibaura Institute of Technology Japan Tokyo University of Marine Science and Technology Japan
Simultaneous localization and mapping (SLAM) can provide point clouds and self-position data for 3D mapping, virtual reality, augmented reality, mixed reality, UAV flight control, and autonomous vehicle control. In 3D... 详细信息
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Mamba-Based Residual Network for remote sensing image Super-Resolution  7
Mamba-Based Residual Network for Remote Sensing Image Super-...
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7th International Conference on pattern recognition and Artificial Intelligence, PRAI 2024
作者: Zhao, Gongbo Wang, Feng Shanghai200433 China Yiwu Research Institute Fudan University Yiwu322000 China
image super-resolution is the process of recovering high-resolution images from low-resolution inputs, which is crucial in low-level computer vision tasks. In recent years, progress in deep learning has significantly ... 详细信息
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SUDANet: A Siamese UNet with Dense Attention Mechanism for remote sensing image Change Detection  1
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5th Chinese Conference on pattern recognition and Computer Vision (PRCV)
作者: Sun, Chengzhe Dui, Chun Wu, Jiangjiang Chen, Hao Natl Univ Def Technol Changsha Peoples R China Key Lab Nat Resources Monitoring & Nat Resources Changsha Peoples R China
Change detection is one of the main applications of remote sensing images. Pixel-to-pixel change detection using deep learning has been a hot research spot. However, the current approach are not effective enough to fu... 详细信息
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3D convolution for multidate crop recognition from multitemporal image sequences
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INTERNATIONAL JOURNAL OF remote sensing 2022年 第15-16期43卷 6056-6077页
作者: Rogozinski, Marcos Chamorro Martinez, Jorge Andres Feitosa, Raul Queiroz Pontifical Catholic Univ Rio de Janeiro Postgrad Programme Metrol Rio De Janeiro Brazil Pontifical Catholic Univ Rio de Janeiro BR-22451900 Rio De Janeiro Brazil
The increasing food demand is regarded as the main threat to nature today. In this scenario, remote Rensing is an essential technology to assess and monitor the extent and productivity of cultivated land. However, mos... 详细信息
来源: 评论