Research On Algorithm For Colorful Image Of Remote Sensing In JINPING Area

Now the image of remote sensing has been used in many large project such as terrain sensing sound remote sensing and mapping,etc.We have paid attention to the arithmetic research of the image of remote sensing for a long time.But with the development of the technology in remote sensing and the popularization of the product of remote sensing,there are more and more images of remote sensing which are used in large project.There have been several large waterpower projects in JINPING area.Also there are some karst objects in JINPING area. So we need pay more attention to the research of the image of remote sensing in JINPING karst area.Because of the particularity of karst area,there are many difference in the color pedigree to the karst object.Now there have been alot of successful algorithms for the karst object detection in simple backgroud.However,as to images of remote sensing in JINPING karst area in complex backgroud, karst object is difficult to be detected.The paper discuss the way to this question and want to explain the question by neural networks and GA with the help of projection arithmetic.The algorithm uses complexion model to detect karst object.First,the paper introduce the important of the research.Then the paper understand the algorithm of patterm recognition and apply it to the images of remote sensing in JINPING karst area. Since the application of complexion model help reduce the mistakes likely to be selected in JINPING karst area,the veracity of the karst object detection has been advanced.