Self-Adaptive Gradient-Based Thresholding Method for Coal Fire Detection Based on ASTER Data—Part 2, Validation and Sensitivity Analysis

Self-Adaptive Gradient-Based Thresholding Method for Coal Fire Detection Based on ASTER Data—Part 2, Validation and Sensitivity Analysis

The self-adaptive gradient-based thresholding (SAGBT) method is a simple non-interactive coal fire detection approach involving segmentation and a threshold identification algorithm that adapts to the spatial distribution of thermal features over a landscape. SAGBT detects coal fire using multispect...

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Bibliographic Details
Main Authors: Xiaomin Du, Sergio Bernardes, Daiyong Cao, Thomas R. Jordan, Zhen Yan, Guang Yang, Zhipeng Li
Format: Article
Language:English
Published: MDPI AG 2015-03-01
Series:Remote Sensing
Subjects:
thermal infrared remote sensing
spontaneous combustion of coal seam-validations
simultaneous field measurement
advanced spaceborne thermal emission and reflection radiometer (ASTER)
Online Access:http://www.mdpi.com/2072-4292/7/3/2602

Internet

http://www.mdpi.com/2072-4292/7/3/2602

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