The Research And Application Of Classification Method Based On Professional Remote Sensing Images Processing

Technology of Remote sensing c Remote is the important means to obtain the surface information by using Features of microwave radiation. Remote sensor resolution and computer computing is increased substantially, which made Remote sensing technologies used widely. However, computer application on remote sensing image processing, to combine this with graphics theory, is relatively Lag, which hindered the promotion of remote sensing technology. Especially Image classification technology in the auto interpretation of remote sensing image is the key and core content to the further application of remote sensing technique. So it has become an important subject to extract fast, conveniently and precisely the needed elements of information from large-scale remote sensing data. Using remote sensing technology for land use classification information become the research hot spot.Through image processing technology of remote sensing image information in a variety of feature identification and extraction of information, so as to realize the application of remote sensing image classification for land use in the study of intelligent software program implementation. In this paper, the complete remote sensing image processing platform ENVI, remote sensing image data in accordance with Gansu Baiyin region full of remote sensing data processing, after the image pre-processing, enhancement and integration of multi-band image comparison process for remote sensing image data classification provides the basis for high-quality data, and then through image classification and, ultimately, the changes in land use of Baiyin region, and make the appropriate changes in the analysis.Through research shows that this high efficiency classification of remote sensing data for large-scale, low-cost, recognition accuracy can meet the application requirements. Through the analysis of remote sensing image processing, reveals the internal driving force conversion mechanism of land use types, providing valuable information for the sustainable use of land resources. Meanwhile, the study results can also be useful for the value of the relevant government departments in formulating economic policy of land use information.