In recent years

remote sensing technology has developed rapidly. And remote sensing image technology has been applied in more and morefields

especially inland and resources management

earth's surfacechange

agroforestry monitoring and other fields. At present

there wererelatively few reviews based on change detection process. Most algorithms were only for change information extraction method.In order to make more researchers have a more comprehensive understanding in remote sensing image change detection theory

process and its existing problems

a detailed introductionwas reviewed. a large number of remote sensing image change detection algorithms were summarized

classified and compared. A deep description based on the flow of the change detection technology was given in this paper. And the development status and trends of the image segmentation

feature extraction and classification algorithms in the step of change information extraction were mainly discussed. Most of the change detection methods have good performance for specified condition. There are no generic algorithm

and the existing algorithms have problems in the perspectives of efficiency

accuracy

intelligent. The majority of algorithms have solved the relatively scattered problems and theories. Combined with the existing problems and the present state of development under the influence of the big data technology

the future development trend of remote sensing images change detection field was forecasted and prospected-from five aspects

which are data types

pre-processing method

the change information extraction method

the algorithm efficiency and theoretical innovation. Remote sensing image change detection has high research value in many areas

but some of the limitations of change detection at the present time also need further research. The study of change detection needs creative thinking from the research hot spot and introducing deep learning and other development trends.