Абстрактный

Implementation of data mining techniques for Temperature Extraction for forest fire occurrence with Image Analysis

Divya TL, Vijayalakshmi M.N

Information mining using multimedia images is challenging issue in pre-processing image dataset, training dataset and discovering useful patterns for many applications. Forest fire is key risk in Mediterranean forest region. During summer high temperature and low humidity will cause this problem in wild conservation space [3]. This paper intends to identify fire occurring temperature and fire danger rate for loss of vegetation (in hectares) by association rule, spatial trend analysis with multimedia images. The association rules between image contents features are applied using spatial association access methods.