首页 | 本学科首页   官方微博 | 高级检索  
     


Automated retrieval of forest structure variables based on multi-scale texture analysis of VHR satellite imagery
Affiliation:1. Institute for Environmental Sciences, University Koblenz-Landau, 76829 Landau, Germany;2. Laboratori d''Ictiologia Genètica, Facultat de Ciències-UdG, Campus de Montilivi s/n., E-17071 Girona, Spain;1. Research Scientist, Caesar Kleberg Wildlife Research Institute, Texas A&M University–Kingsville, Kingsville, TX 78363, USA;2. Full Professor, Caesar Kleberg Wildlife Research Institute, Texas A&M University–Kingsville, Kingsville, TX 78363, USA;3. Full Professor, Caesar Kleberg Wildlife Research Institute, Texas A&M University–Kingsville, Kingsville, TX 78363, USA;4. Regents Professor, Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX 77843, USA;5. Full Professor, Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX 77843, USA;6. Full Professor, Department of Ecosystem Science and Management, Texas A&M University, College Station, TX 77843, USA;7. Full Professor, Caesar Kleberg Wildlife Research Institute, Texas A&M University–Kingsville, Kingsville, TX 78363, USA.;1. Range Ecologist, Arctic Slope Regional Corporation Research & Technology Solutions, Contractor to US Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA;;2. Professor, Department of Natural Resource Management, South Dakota State University, Brookings, SD 57007, USA;3. Research Physical Scientist, US Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA.
Abstract:
Keywords:Forestry  Multiple regression  Feature selection  Texture  Multi-scale  Multi-resolution  Pléiades  Quickbird
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号