Illustration Of Color In Remote Sensing Application And Comparable Study In Different Realization Methods In HIS Fusion Model

With the improvement of multi-sensor, multi-platform, multi-spectrum, multi-time and multi-scale remote sensing exploring techniques, and the development of computer hardware and software applied in remote sensing images processing, RS analyzers have to face one of the difficult problems that how to treat the plenty of remote sensing images rapidly. With the deepening application of remote sensing in multifarious fields, RS analyzers are not only required to master the theory of remote sensing images processing and experience knowledge in certain applied fields, but also to comprehend the theory and the connotation of digital processing adequately, so that they could apply remote sensing techniques better in other fields.On the study of color and the color model's role in remote sensing techniques, it's mainly in the application of RS visual interpretation and color image dealing, researchers in and aboard only focus on fusion model of HIS, but not analyze and summarize color and the role the color model plays systematically. For different RS image dealing software and programming language, the support and encapsulation is different to color and color model. So it requires the computer's support to color and color model, and research the realization methods of RS image dealing. From the angel of improving the visual interpretation's capability of RS image and color image dealing, this paper research deeply the effect of color and color model in RS image digital dealing by the realization of HIS fusion model using the Visual C++,ERDAS modeler,MATLAB. And also ,this paper experiment the HIS fusion model from the angels of program language, mature software and algorithm experiment platform.From the angle of digital processing of images ,this paper analyzes color and color model's role in remote sensing techniques systematically and realize the HIS fusion model by three methods, all of which will play a certain promoting role in analysis and application of remote sensing images. Only based on deeply comprehension of the imaging mechanism and digital processing of remote sensing images, could analyzers set foundation for the techniques of remote sensing images processing and its application in other fields.