A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area-Reference-Cited by-同舟云学术

A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area

Published:2016-05-06 Issue:10 Volume:37 Page:2358-2375
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Sameen Maher Ibrahim,Nahhas Faten Hamed,Buraihi Faez Hussein,Pradhan Biswajeet,Shariff Abdul Rashid B. Mohamed

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

http://www.tandfonline.com/doi/pdf/10.1080/01431161.2016.1176273

Reference32 articles.

1. Comparison of multisource image fusion methods and land cover classification

2. Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: object-based and knowledge-based approach

3. Per-pixel and object-oriented classification methods for mapping urban features using Ikonos satellite data

4. A decision-tree classification for low-lying complex land cover types within the zone of discontinuous permafrost

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