Unsupervised Spatio-Temporal Data Mining Framework for Burned Area Mapping

Khandelwal, Ankush ; Kumar, Vipin ; Mithal, Varun ; Boriah, Shyam

PID  :  NTRS Document ID: 20160013207

学科分类：社会科学、人文和艺术（综合）

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

A method reduces processing time required to identify locations burned by fire by receiving a feature value for each pixel in an image, each pixel representing a sub-area of a location. Pixels are then grouped based on similarities of the feature values to form candidate burn events. For each candidate burn event, a probability that the candidate burn event is a true burn event is determined based on at least one further feature value for each pixel in the candidate burn event. Candidate burn events that have a probability below a threshold are removed from further consideration as burn events to produce a set of remaining candidate burn events.