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日期:2025-05-12
Features Introduces the required mathematical and statistical background—clearly and concisely Provides in-depth coverage of kernel methods for nonlinear data analysis, including supervised classification with Support Vector Machines Supplies thorough tre...
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日期:2025-05-13
1 Change Detection in Forest Ecosystem s with Remote Sensing Digital Imagery POL R. COPPIN* † and MARVIN E. BAUER** * Dept. of Forestry & Natural Resources, Purdue Univ., West Lafayette, IN 47907, USA ** Dept. of Forest Resources, Univ. of ......
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日期:2025-05-13
Features Utilizes computer codes to illustrate the methods and algorithms discussed Presents new material on SAR remote sensing data classification Discusses cloud computing possibilities and includes updated material on GPU programming Includes ......
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日期:2025-05-07
A REVIEW OF MULTI-TEMPORAL REMOTE SENSING DATA CHANGE DETECTION ALGORITHMS Gong Jianyaa, Sui Haiganga, Ma Guoruia and Zhou Qimingb aState Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing ......
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日期:2025-05-11
Journal of Environmental Biology September, 2010 * Corresponding author: drsvel@gmail.com Remote sensing and GIS based forest cover change detection study in Kalrayan hills, Tamil Nadu R. Sakthivel*1, M. Manivel2, N. Jawahar raj3, V. Pugalanthi4, N ......
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日期:2025-05-08
Continuous change detection and classification of land cover using all available Landsat data Zhe Zhu, , Curtis E. Woodcock Center for Remote Sensing, Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA ....
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日期:2025-05-11
This study examines the use of Remote Sensing (RS) technology in geological studies in El Azraq area. LandSat Enhanced Thematic Mapper plus (ETM+) and Radar SAR images were used to (i) classify the various geological units found in El Azraq area located i...
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日期:2025-05-11
INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 1, No 2, 2010 © Copyright 2010 All rights reserved Integrated Publishing services Research Article ......