Deciding the Way of Remote Sensing Image Wetland Classification of Information Based on the Vague Soft Set Similarity Measures-Topsis Method

Abstract

As wetland is one of the richest ecosystems in bio-diversity and the most important survival environment of humans, quite a large amount of multi-temporal data need to be processed in the wetland dynamic monitoring based on satellite remote sensing, which brings five contradictory factors such as cost, data accuracy, technology, time-consumption and pollution. Using the Minjiang river estuary wetland as example, this paper proposes wetland remote sensing image classification method based on the theory of vague soft set similarity measures-Topsis decision-making. According to the proximity methods and the positive ideal solution (PIS) to select the most appropriate way, the entropy value method of vague weight value was put forward to every evaluation. Thus, the best multilevel utility model was established. Building the satellite data which is suitable for large quantities of long-term decision model about information extraction, it is of great significance to wetland long-term protection and sustainable application.