A Novel Forest Disater Monitoring Method Based on FCM and Neighborhood Factor Genetic Algorithm Using Multispectral Data

Abstract

In this paper, a novel forest disaster detection method based on fuzzy c-means (FCM) algorithm and genetic algorithm (GA) with neighborhood information (F-NGA) is proposed. The proposed method adopts FCM to pre-classify the original data first. Then, the neighborhood factors are added into the GA model to reclassify the results of FCM. Experiment results on two multispectral Formosat-2 forest images present that our algorithm obtains better detection performance when compared with FCM, fuzzy local information c-means (FLICM) and original GA algorithm.