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检索条件"主题词=Object-Based Image Analysis"
495 条 记 录,以下是111-120 订阅
排序:
Self-Adaptive-Filling Deep Convolutional Neural Network Classification Method for Mountain Vegetation Type based on High Spatial Resolution Aerial images
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REMOTE SENSING 2024年 第1期16卷 31页
作者: Li, Shiou Fei, Xianyun Chen, Peilong Wang, Zhen Gao, Yajun Cheng, Kai Wang, Huilong Zhang, Yuanzhi Jiangsu Ocean Univ Sch Geomatics & Marine Informat Lianyungang 222002 Peoples R China Lianyungang Forestry Tech Guidance Stn Lianyungang 222005 Peoples R China Chinese Acad Sci Key Lab Lunar & Deep Space Explorat Natl Astron Observ Beijing 100101 Peoples R China Univ Chinese Acad Sci Sch Astron & Space Sci Beijing 100049 Peoples R China
The composition and structure of mountain vegetation are complex and changeable, and thus urgently require the integration of object-based image analysis (OBIA) and Deep Convolutional Neural Networks (DCNNs). However,... 详细信息
来源: 评论
Machine-learning algorithms for land use dynamics in Lake Haramaya Watershed, Ethiopia
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MODELING EARTH SYSTEMS AND ENVIRONMENT 2022年 第3期8卷 3719-3736页
作者: Woldemariam, Gezahegn Weldu Tibebe, Degefie Mengesha, Tesfamariam Engida Gelete, Tadele Bedo Ethiopian Space Sci & Technol Inst ESSTI Entoto Observ & Res Ctr EORC Dept Remote Sensing & Applicat Res & Dev POB 33679 Addis Ababa Ethiopia Addis Ababa Univ POB 1176 Addis Ababa Ethiopia Haramaya Univ Sch Geog & Environm Studies Geoinformat Sci Program POB 138 Dire Dawa 3220 Ethiopia
Natural and human-induced drivers within the constraints of multiple socioeconomic and political conditions have intensified the extent of land use and land cover (LULC) change at different scales. Hence, up-to-date s... 详细信息
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Remote sensing of large wood in high-resolution satellite imagery: Design of an automated classification work-flow for multiple wood deposit types
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EARTH SURFACE PROCESSES AND LANDFORMS 2021年 第12期46卷 2333-2348页
作者: Sendrowski, Alicia Wohl, Ellen Colorado State Univ Dept Geosci Ft Collins CO 80523 USA Michigan State Univ Dept Civil & Environm Engn E Lansing MI 48824 USA
Wood researchers increasingly rely on remote-sensing products to augment field information about wood deposits in river corridors. The availability of very high-resolution (<1 m) satellite imagery makes capturing w... 详细信息
来源: 评论
Semantic Unsupervised Change Detection of Natural Land Cover With Multitemporal object-based analysis on SAR images
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2021年 第7期59卷 5494-5514页
作者: Amitrano, Donato Guida, Raffaella Iervolino, Pasquale Univ Napoli Federico II Dept Elect & Informat Technol Engn I-80125 Naples Italy Univ Napoli Ingn Elettron & Telecomunicaz I-80125 Naples Italy Surrey Space Ctr Dept Elect Engn Guildford GU2 7XH Surrey England
Change detection is one of the most addressed topics in the remote sensing community. When performed on synthetic aperture radar images, the most critical issues are as follows: 1) the labeling of the identified chang... 详细信息
来源: 评论
Salt Marsh Species Classification and Soil Property Modeling Using Multiple Remote Sensors
Salt Marsh Species Classification and Soil Property Modeling...
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作者: Nicholson, Heather M. Florida Atlantic University
学位级别:Ph.D., Doctor of Philosophy
Salt marshes are highly dynamic ecosystems that rely on multiple environmental and physical drivers that determine species distribution and soil property distribution. However, climate change and human interference ar... 详细信息
来源: 评论
Application and Evaluation of the AI-Powered Segment Anything Model (SAM) in Seafloor Mapping: A Case Study from Puck Lagoon, Poland
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REMOTE SENSING 2024年 第14期16卷 2638页
作者: Janowski, Lukasz Wroblewski, Radoslaw Gdynia Maritime Univ Maritime Inst Roberta Plelo 20 PL-80548 Gdansk Poland Univ Gdansk Dept Geophys Pilsudskiego 46 PL-81378 Gdynia Poland MEWO SA Starogardzka 17A PL-83010 Straszyn Poland
The digital representation of seafloor, a challenge in UNESCO's Ocean Decade initiative, is essential for sustainable development support and marine environment protection, aligning with the United Nations' 20... 详细信息
来源: 评论
STATE-WIDE WETLAND INVENTORY MAP OF MINNESOTA USING MULTI-SOURCE AND MULTI-TEMPORALREMOTE SENSING DATA  24
STATE-WIDE WETLAND INVENTORY MAP OF MINNESOTA USING MULTI-SO...
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24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow
作者: Igwe, Victor Salehi, Bahram Mandianpari, Masoud SUNY Coll Environm Sci & Forestry SUNY ESF Dept Environm Resources Engn Syracuse NY 13210 USA Mem Univ Newfoundland C CORE St John NL A1B 3X5 Canada Mem Univ Newfoundland Dept Elect & Comp Engn St John NL A1B 3X5 Canada
Carbon sequestration coupled with flood mitigation and other functions of wetlands, such as water filtration, coastal protection, biodiversity, and providing recreational spots, make wetland mapping and monitoring imp... 详细信息
来源: 评论
object-based image analysis of WORLDVIEW-2 SATELLITE DATA for the CLASSIFICATION of MANGROVE AREAS in the CITY of SÃO LUÍS, MARANHÃO STATE, BRAZIL  22
OBJECT-BASED IMAGE ANALYSIS of WORLDVIEW-2 SATELLITE DATA fo...
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22nd Congress of the International Society for Photogrammetry and Remote Sensing: Imaging a Sustainable Future, ISPRS 2012
作者: Kux, H.J.H. Souza, U.D.V. INPE Andndash National Institute for Space Research Avenida Dos Astronautas 1758 andndashJardim da Granja São José dos Campos andndashSP12.227-010 Brazil
Taking into account the importance of mangrove environments for the biodiversity of coastal areas, the objective of this paper is to classify the different types of irregular human occupation on the areas of mangrove ... 详细信息
来源: 评论
The potential of Gokturk 2 satellite images for mapping burnt forest areas
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TURKISH JOURNAL OF AGRICULTURE AND FORESTRY 2021年 第1期45卷 91-101页
作者: Kuruca, Murat Matci, Dilek Kocuk Avdan, Ugur Eskisehir Tech Univ Res Inst Earth & Space Sci Eskisehir Turkey
Using remotely sensed data to identify burnt forest areas produces fast, economical, and highly accurate results. Accordingly, in this study we investigate the capabilities of Gokturk-2, Turkey's national satellit... 详细信息
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Comparing Pixel- and object-based Approaches for Classifying Multispectral Drone imagery of a Salt Marsh Restoration and Reference Site
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REMOTE SENSING 2024年 第6期16卷 1049页
作者: Norris, Gregory S. LaRocque, Armand Leblon, Brigitte Barbeau, Myriam A. Hanson, Alan R. Univ New Brunswick Fac Forestry & Environm Management Fredericton NB E3B 5A3 Canada Lakehead Univ Fac Nat Resource Management Thunder Bay ON P7B 5E1 Canada Univ New Brunswick Dept Biol Fredericton NB E3B 5A3 Canada Canadian Wildlife Serv Environm Canada POB 6227 Sackville NB E4L 4N1 Canada
Monitoring salt marshes with remote sensing is necessary to evaluate their state and restoration. Determining appropriate techniques for this can be overwhelming. Our study provides insight into whether a pixel- or ob... 详细信息
来源: 评论