Segmentation for remote-sensing imagery using the object-based Gaussian-Markov random field model with region coefficients
Author:
Affiliation:
1. School of Mathematics and Statistics, Henan University, Kaifeng, China
2. School of Electronic Information, Wuhan university, Wuhan, China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1563841
Reference58 articles.
1. Automatic Mapping of Linear Woody Vegetation Features in Agricultural Landscapes Using Very High Resolution Imagery
2. Operational Performance of an Automatic Preliminary Spectral Rule-Based Decision-Tree Classifier of Spaceborne Very High Resolution Optical Images
3. Object based image analysis for remote sensing
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