Complexity metrics to quantify semantic accuracy in segmented Landsat images-Reference-Cited by-同舟云学术

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Complexity metrics to quantify semantic accuracy in segmented Landsat images

Published:2005-07 Issue:14 Volume:26 Page:2937-2951
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Stein Alfred¹,de Beurs Kirsten²

Affiliation:

1. a International Institute for Geo‐Information Science and Earth Observation (ITC) , PO Box 6, 7500 AA Enschede, The Netherlands

2. b Center for Advanced Land Management Information Technology (CALMIT) , 113 Nebraska Hall , University of Nebraska , Lincoln, NE 68588‐0517

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160500057749

Reference26 articles.

1. On unsupervised segmentation of remotely sensed imagery using nonlinear regression

2. Objective assessment of image quality II Fisher information, Fourier crosstalk, and figures of merit for task performance

3. Comparison of complexity measures for choropleth maps

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