Research Of Multisource Remote Sensing Images Fusion And Its Application

As one of the important aspects of image fusion, multi-sensor remote-sensing image fusion (MS-RSIF) investigates how to integrate image information from different aerial remote sensors, and generate new data, which are more complete, objective, and essential cognition for the target. With the development of information technologies, currently, RSIF becomes indispensable in image processing and understanding, along with many important military and civil applications.MS-RSIF methods are investigated in different levels by means of image processing and modern signal processing techniques in this thesis, Through fusion of image data from different aerial remote sensors, we can improve the image resolution and analysis results in precision and believability, and further improve the effectiveness in detection and recognition of specific aerial targets.Even if our application is for the detection and recognition of military objects,the achievements have great reference sense to other application fields as well.The following is the main contents and contributions of this thesis:â—† Basic concepts and principles of RSIF are introduced, and many traditional algorithms are then systemically analyzed; With detail comparison of their characteristics and performances, a series of useful conclusions are given;â—† Ten criterion items in four groups based on information quantity, statistic speciality, correlation and gradient respectively, are summarized for fusion evaluation, which are utilized in the experiments to acquire both qualitative and quantitative analysis of the fusion results;â—† As for the multi-resolution image fusion, a wavelet transform based self-adaptive algorithm is proposed. Compared with traditional ones, our method has best performance in obtaining information entropy with low more correlation with the source image;â—† discussed several key techniques of the recognition and decision problems in image fusion and expatiated on the conceptions, theories, existing algorithms,trends merits and disadvantages on them.In Addition, reliability and fault-tolerance are also analyzed;â—† in the end,we discuss the design and implement of a prototype system facing to image fusion.It provides a lot of alternate modes such as menus ,tools bar and visualization display at the beginning and end of the image processing. It is able to realize many functions,such as the enhancement and fusion of remote-sensing images ,the input and output of the image files.It has a good application foreground.