Rule-based land cover classification from very high-resolution satellite image with multiresolution segmentation-Reference-Cited by-同舟云学术

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Rule-based land cover classification from very high-resolution satellite image with multiresolution segmentation

Published:2016-07-11 Issue:3 Volume:10 Page:036004
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Haque Md. Enamul¹,Al-Ramadan Baqer²,Johnson Brian A.³

Affiliation:

1. Temple University, Department of Computer and Information Sciences, 1801 N, Broad Street, Philadelphia, Pennsylvania 19122, United States

2. King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia

3. Institute for Global Environmental Strategies, 2108-11 Kamiyamaguchi, Hayama, Kanagawa, Japan

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference31 articles.

1. The modifiable areal unit problem (MAUP);Wong,2004

2. Spatial Distribution of Human Population in France: Exploring the Modifiable Areal Unit Problem Using Multifractal Analysis

3. Object based image analysis for remote sensing

4. Assessing object-based classification: advantages and limitations

5. Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification

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