Assessing the impact of training sample selection on accuracy of an urban classification: a case study in Denver, Colorado-Reference-Cited by-同舟云学术

Assessing the impact of training sample selection on accuracy of an urban classification: a case study in Denver, Colorado

Published:2014-03-06 Issue:6 Volume:35 Page:2067-2081
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Jin Huiran¹,Stehman Stephen V.²,Mountrakis Giorgos¹

Affiliation:

1. Department of Environmental Resources Engineering, State University of New York College of Environmental Science and Forestry, Syracuse, NY 13210, USA

2. Department of Forest and Natural Resources Management, State University of New York College of Environmental Science and Forestry, Syracuse, NY 13210, USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2014.885152

Reference28 articles.

1. Estimating and Mapping Impervious Surface Area by Regression Analysis of Landsat Imagery

2. Effects of sample survey design on the accuracy of classification tree models in species distribution models

3. Status of land cover classification accuracy assessment

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