Remote Sensing Image Segmentation Algorithm Based on Multi-agent and Fuzzy Clustering

Abstract

Remote sensing is a technology for monitoring surface information in real time, remote sensing image interpretation has important application value in military and civil fields [1]. In this paper, aiming at the design of remote sensing image segmentation algorithm, we propose a remote sensing image segmentation method based on multi-Agent system and fuzzy clustering. The proposed method extracts and fuses the intensity, texture and edge information in collaboration and penalization, and it provides theoretical and technical support for remote sensing image segmentation.