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Regionalization of multi-categorical landscapes using machine vision methods
Institution:1. Postdoctorate, U.S. Department of Agriculture, Agricultural Research Service, Eastern Oregon Agricultural Research Center, Burns, OR 97720, USA;2. Rangeland Scientists, U.S. Department of Agriculture, Agricultural Research Service, Eastern Oregon Agricultural Research Center, Burns, OR 97720, USA;1. Laboratory of Cognitive Model and Algorithm, School of Computer Science, Fudan University, No. 825 Zhangheng Road, Shanghai 201203, PR China;2. Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, No. 825 Zhangheng Road, Shanghai 201203, PR China;3. Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, No. 220 Handan Road, Shanghai 200433, PR China;1. Department of Histology and Embryology, Medical University of Silesia, SMDZ in Zabrze, Poland;2. Department of Orthopaedics, Traumatology and Orthopaedic Oncology, Pomeranian Medical University, Szczecin, Poland;3. Laboratory of Experimental Pharmacogenetics, Department of Clinical Pharmacy and Biopharmacy, University of Medical Sciences, Poznan, Poland;4. Department of Pharmacology and Phytochemistry, Institute of Natural Fibres and Medicinal Plants, Poznan, Poland;5. Department of General Pharmacology and Pharmacoeconomics, Pomeranian Medical University, Szczecin, Poland
Abstract:
Keywords:Regionalization  Spatial pattern  Landscape  Land cover  NLCD 2006
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