GF-1 Image Quality Evaluation and applications potential for The Mining area Land use classification

To objectively evaluate the image quality of GF-1 and its potential for application of the mining Classification, the Pingshuo mining area in Loess Plateau is selected as the study area. Compared with the same temporal images of SPOT 6, the images of GF-1 were. The evaluation index from two aspects such as gray level feature and texture feature are to conduct the project Quality. Statistical results show that GF-4 images contain amount of gray information and rich feature types; which can describe the details of the surface information. To analysis the application potential of GF-4 image, the process of land cover classification is worked out by means of M Aximum Likelihood method Classification pixels-dased and nearest neighbor method classification object-oriented Vely. The comparing the classification results testified that GF-1 image's overall classification-effect was inferior to SPOT 6 Image, but the GF-1 image is still able to quickly and efficiently obtain the information depleted land and mined Surrounding, and could provided the base data for mine ecological restoration and vegetation.