Integrative image segmentation optimization and machine learning approach for high quality land-use and land-cover mapping using multisource remote sensing data-Reference-Cited by-同舟云学术

Integrative image segmentation optimization and machine learning approach for high quality land-use and land-cover mapping using multisource remote sensing data

Published:2018-03-09 Issue:01 Volume:12 Page:1
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Gibril Mohamed Barakat A.¹,Idrees Mohammed Oludare¹,Yao Kuoame¹,Shafri Helmi Zulhaidi Mohd¹

Affiliation:

1. Universiti Putra Malaysia, Department of Civil Engineering, Faculty of Engineering, Serdang, Selango

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference60 articles.

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4. 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

5. Comparative evaluation of the sensitivity of multi-polarised SAR and optical data for various land cover;Chauhan,2016

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