Evaluating SAR-Optical Image Fusions for Urban LULC Classification in Vancouver Canada
Author:
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
http://www.tandfonline.com/doi/pdf/10.1080/07038992.2014.976700
Reference55 articles.
1. Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: object-based and knowledge-based approach
2. Monitoring Urban Structure Types as Spatial Indicators With CIR Aerial Photographs for a More Effective Urban Environmental Management
3. Neural Network Approaches Versus Statistical Methods In Classification Of Multisource Remote Sensing Data
4. Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems—An Overview
5. Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features
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