Research Review of Remote Sensing Image Change Detection Methods

Remote sensing image change detection is an important research in the field of remote sensing, which aims to use remote sensing technology and image processing methods to identify the patterns and trends of surface cover changes. In order to gain a deeper understanding of the current development of this area and the technical methods used, a large amount of information and literatures are summarized and analyzed to provide a more comprehensive review of remote sensing image change detection methods. Firstly, the concept and processing flow of change detection are introduced. Then the classification system of change detection methods is summarized from six angles, followed by a review of their development history. Subsequently, the principles and characteristics of various types of change detection methods are outlined, their advantages and disadvantages are briefly analyzed, and the real-world application value of change detection on remotely sensed images is discussed from six aspects. Some problems and shortcomings in the area are briefly analyzed, and some possible ways to improve these problems are proposed, while the obstacles that may be encountered in the practical application of these methods are also predicted. Finally, the change detection methods are summarized, and the future development direction is prospected, in order to better understand the research status and development trend of remote sensing image change detection methods, and provide reference for further research. © 2024 Journal of Computer Engineering and Applications Beijing Co., Ltd.; Science Press. All rights reserved.