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检索条件"主题词=Object-based Classification"
321 条 记 录,以下是191-200 订阅
排序:
Evaluation of Orthomosics and Digital Surface Models Derived from Aerial Imagery for Crop Type Mapping
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REMOTE SENSING 2017年 第3期9卷 239-239页
作者: Wu, Mingquan Yang, Chenghai Song, Xiaoyu Hoffmann, Wesley Clint Huang, Wenjiang Niu, Zheng Wang, Changyao Li, Wang Chinese Acad Sci Inst Remote Sensing & Digital Earth State Key Lab Remote Sensing Sci POB 971820 Datun Rd Beijing 100101 Peoples R China USDA ARS Aerial Applicat Technol Res Unit 3103 F&B Rd College Stn TX 77845 USA Beijing Acad Agr & Forestry Sci Beijing Res Ctr Informat Technol Agr Beijing 100097 Peoples R China Chinese Acad Sci Inst Remote Sensing & Digital Earth Lab Digital Earth Sci Beijing 100094 Peoples R China
Orthomosics and digital surface models (DSM) derived from aerial imagery, acquired by consumer-grade cameras, have the potential for crop type mapping. In this study, a novel method was proposed for extracting the cro... 详细信息
来源: 评论
"Kill Two Birds with One Stone": Urban Tree Species classification Using Bi-Temporal Pleiades Images to Study Nesting Preferences of an Invasive Bird
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REMOTE SENSING 2017年 第9期9卷 916-916页
作者: Le Louarn, Marine Clergeau, Philippe Briche, Elodie Deschamps-Cottin, Magali Aix Marseille Univ IRD LPED Marseille France Museum Natl Hist Nat UMR CESCO 43 Rue BuffonCP135 F-75005 Paris France
This study presents the results of object-based classifications assessing the potential of bi-temporal Pleiades images for mapping broadleaf and coniferous tree species potentially used by the ring-necked parakeet Psi... 详细信息
来源: 评论
Assessing the Potential of Sentinel-2 and Pleiades Data for the Detection of Prosopis and Vachellia spp. in Kenya
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REMOTE SENSING 2017年 第1期9卷 74-74页
作者: Ng, Wai-Tim Rima, Purity Einzmann, Kathrin Immitzer, Markus Atzberger, Clement Eckert, Sandra Univ Nat Resources & Life Sci Vienna BOKU Inst Surveying Remote Sensing & Land Informat Peter Jordan Str 82 A-1190 Vienna Austria Kenya Forestry Res Inst KEFRI Baringo Sub Ctr POB 57-30403 Marigat Kenya Chuka Univ Fac Arts & Humanities Dept Geog POB 109-60400 Chuka Kenya Univ Bern Ctr Dev & Environm Hallerstr 10 CH-3012 Bern Switzerland
Prosopis was introduced to Baringo, Kenya in the early 1980s for provision of fuelwood and for controlling desertification through the Fuelwood Afforestation Extension Project (FAEP). Since then, Prosopis has hybridiz... 详细信息
来源: 评论
object-based Image Analysis for Coral Reef Benthic Habitat Mapping with Several classification Algorithms
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Procedia Environmental Sciences 2015年 24卷 222-227页
作者: Nurhalis Wahidin Vincentius P. Siregar Bisman Nababan Indra Jaya Sam Wouthuyzen Marine Technology Graduate Program Faculty of Fisheries and Marine Sciences Bogor Agricultural University Bogor Indonesia Faculty of Fisherie and Marine Science Khiarun University Ternate Indonesia Department of Marine Science and Technology Bogor Agricultural University Bogor Indonesia Oceanographic Research Center Indonesian Institute of Science Jakarta Indonesia
object-based classification technique (OBIA) in Landsat image analysis is assumed to be able to increase classification accuracy result compared with a pixel-based classification technique. Most of the previous resear... 详细信息
来源: 评论
In-Season Crop Mapping with GF-1/WFV Data by Combining object-based Image Analysis and Random Forest
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REMOTE SENSING 2017年 第11期9卷 1184-1184页
作者: Song, Qian Hu, Qiong Zhou, Qingbo Hovis, Ciara Xiang, Mingtao Tang, Huajun Wu, Wenbin Chinese Acad Agr Sci Inst Agr Resources & Reg Planning Minist Agr Key Lab Agr Remote Sensing AGRIRS Beijing 100081 Peoples R China Michigan State Univ Ctr Syst Integrat & Sustainabil E Lansing MI 48824 USA
Producing accurate crop maps during the current growing season is essential for effective agricultural monitoring. Substantial efforts have been made to study regional crop distribution from year to year, but less att... 详细信息
来源: 评论
object-based classification USING ULTRACAM-D IMAGES FOR TREE SPECIES DISCRIMINATION (CASE STUDY: HYRCANIAN FOREST-IRAN)
OBJECT-BASED CLASSIFICATION USING ULTRACAM-D IMAGES FOR TREE...
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Conference on Geographic object-based Image Analysis (GEOBIA)
作者: Rafieyan, O. Darvishsefat, A. A. Babaii, S. Mataji, A. Islamic Azad Univ Tabriz Branch Tehran Iran Univ Tehran Nat Resources Fac Dept Forestry Karaj Iran Islamic Azad Univ Sci & Res Branch Tehran Iran
This research has been conducted to evaluate the proposed object-based method with high spatial resolution airborne remote sensing data in tree species identification and mapping. It has been done in 2 areas of total ... 详细信息
来源: 评论
PIXEL VS object-based IMAGE classification TECHNIQUES FOR LIDAR INTENSITY DATA
PIXEL VS OBJECT-BASED IMAGE CLASSIFICATION TECHNIQUES FOR LI...
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ISPRS Workshop on Laser Scanning
作者: El-Ashmawy, Nagwa Shaker, Ahmed Yan, Wai Yeung Ryerson Univ Dept Civil Engn Toronto ON M5B 2K3 Canada Natl Water Res Ctr Survey Res Inst Cairo Egypt
Light Detection and Ranging (LiDAR) systems are remote sensing techniques used mainly for terrain surface modelling. LiDAR sensors record the distance between the sensor and the targets (range data) with a capability ... 详细信息
来源: 评论
Accurate determination of surface reference data in digital photographs in ice-free surfaces of Maritime Antarctica
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SCIENCE OF THE TOTAL ENVIRONMENT 2016年 573卷 290-302页
作者: Pina, Pedro Vieira, Goncalo Bandeira, Lourenco Mora, Carla Univ Lisbon Inst Super Tecn CERENA Ave Rovisco Pais P-1049001 Lisbon Portugal Univ Lisbon CEG Inst Geog & Ordenamento Terr Rua Branca Edmee Marques P-1600276 Lisbon Portugal
The ice-free areas of Maritime Antarctica show complex mosaics of surface covers, with wide patches of diverse bare soils and rock, together with various vegetation communities dominated by lichens and mosses. The mic... 详细信息
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Mapping Changes in Land Cover Composition and Pattern for Comparing Mediterranean Rangeland Restoration Alternatives
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LAND DEGRADATION & DEVELOPMENT 2016年 第3期27卷 671-681页
作者: Fava, Francesco Pulighe, Giuseppe Monteiro, Antonio T. Univ Milano Bicocca Dept Earth & Environm Sci Remote Sensing Environm Dynam Lab Piazza Sci 1 I-20126 Milan Italy Consiglio Ric Agr & Anal Econ Agr Via Nomentana 41 Rome Italy Univ Porto Res Ctr Biodivers & Genet Resources CIBIO Biol Conservat Grp Rua Campo Alegre 823 P-4100 Oporto Portugal
The limited amount of studies addressing the long-term effectiveness of restoration actions to combat land degradation is a constraint for current landscape restoration planning and implementation. Remote sensing data... 详细信息
来源: 评论
Detection of urban environments using advanced land observing satellite phased array type L-band synthetic aperture radar data through different classification techniques
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JOURNAL OF APPLIED REMOTE SENSING 2016年 第3期10卷
作者: Pradhan, Biswajeet Abdullahi, Saleh Seddighi, Younes Univ Putra Malaysia Fac Engn Geospatial Informat Sci Res Ctr Dept Civil Engn Serdang 43400 Selangor Malaysia
Urban environments are very dynamic phenomena, and it is essential to update urbanrelated information for various applications. In this regard, remotely sensed data have been utilized widely to extract and monitor urb... 详细信息
来源: 评论