Information Extraction with Hierarchical Multi-scale Segmentation and Dynamic Change Analysis in Myanmar Tagaung Taung Nickel Mine

Abstract

Recently, high spatial resolution remote sensing images have been widely used to classify in the mining area. However, the information extraction and dynamic change analysis of typical open-pit laterites nickel mine by using high spatial resolution remote sensing images is less studied. The openpit Tagaung Taung nickel mine is one of the famous laterites nickel ore in Myanmar. In this paper, based on the data of Pleiades and GF-2 image, we used the method of object-oriented classification with hierarchical multi-scale segmentation to extract ground object information and analyze the dynamic change in the Tagaung Taung nickel mine. The qualitatively and quantitatively relative analysis show that identification results with hierarchical multi-scale segmentation has better effect and the precise. The overall accuracies of Pleiades and GF-2 image are 94.24% and 89.02% respectively. Accordingly, this method is more suitable to be utilized to the information extraction of openpit laterites nickel mine. Through dynamic change analysis, the mining scale of Tagaung Taung Nickel mine continues to expand from 2015 to 2017, and the mining speed is fast. Consequently, the deposit has good resource development potential and broad development prospects in the future.