Amanote Research
Register
Sign In
Evaluation of Second-Order Visual Features for Land-Use Classification
doi 10.1109/cbmi.2014.6849835
Full Text
Open PDF
Abstract
Available in
full text
Date
June 1, 2014
Authors
Romain Negrel
David Picard
Philippe-Henri Gosselin
Publisher
IEEE
Related search
Features of Use of Agricultural Land Under Intensive Land Use
Theoretical & Applied Science
Land Use Classification Based on Multi-Structure Convolution Neural Network Features Cascading
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Evaluation of Land Use Changes Order to Desertification Monitoring Using Remote Sensing Techniques
Journal of Spatial Analysis Environmental Hazarts
A Hierarchical Approach of Hybrid Image Classification for Land Use and Land Cover Mapping
Geographica Pannonica
Development
Hospitality Management
Geology
Leisure
Atmospheric Science
Planning
Earth-Surface Processes
Tourism
Geography
Evaluation of Industrial Parks Efficiency for Sustainable Land Use
An Ensemble Classification Approach for Improved Land Use/Cover Change Detection
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Higher-Order Co-Occurrence Features Based on Discriminative Co-Clusters for Image Classification
An Object-Based Convolutional Neural Network (OCNN) for Urban Land Use Classification
Remote Sensing of Environment
Geology
Soil Science
Computers in Earth Sciences
An Automated Artificial Neural Network System for Land Use/Land Cover Classification From Landsat TM Imagery
Remote Sensing
Earth
Planetary Sciences
