Author : P. Dolphin Devi 1
Date of Publication :21st December 2017
Abstract: The rapid variation in the landscape due to agricultural, migration, exploration and expansion activities is a critical problem associated with the country. There are both positive and negative impacts on the social, economic and political development of the country due to these activities. The negative impact is the degradation of the ecosystem due to the pollution in the surface and groundwater resources. This poses health hazards to the human being. The existing classification techniques suffer low accuracy due to the presence of complex land cover patterns and the vague relationship between land cover and spectral signals. Thus, there is a need to develop an efficient and affordable technique to classify the land cover regions for monitoring the biological dynamics in those regions. This paper presents a combined approach of the morphological-based image segmentation and maximum likelihood classification to detect the land use/land cover (LULC) classes. This detects the change in the LULC to design an environmental decision-making framework due to the continuous conflicts on the impacts of the oil activities in this area. The performance evaluation results demonstrated the overall better classification performance on the detecting the water and nonwater regions in the satellite image
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