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UAV low-altitude remote sensing develops rapidly. Because of the characteristics such as unstable flight attitude, low-level image automatic matching and large image distortion, there are still just a few successful researches in efficient image stitching and image correction. So this paper takes UAV (Unmanned Aviation Vehicle) image in Jiuyuangou Township, Suide County, Yulin City, Shanxi Province...
With an increasingly rich of the remote sensing data, how to extract meaningful surface information from the mass of remote sensing data has become a problem pressed for solution. Using the experts classification method, digital elevation model and the generated slope and aspect information as expert-assisted classification parameters, land use types of Guangzhou city are classified. The results show...
K-nearest neighbor (KNN) is a common classification method for data mining techniques. It has been widely used in many fields because of the implementation simplicity, the clarity of theory and the excellent classification performance. But KNN will increase classification error rate when training samples distribute unevenly or sample number of each class is very different. So, learning from the idea...
Wavelet transform has the good characteristic of spatial and frequency locality, but it isnpsilat suitable for describing the signals, which have high dimensional singularities. Curvelet is one of new multiscale transform theories, which possess directionality and anisotropy, and it breaks some inherent limitations of wavelet in representing directions of edges in image. So when the curvelet transform...
We use high resolution image of ASTER to extract glacier, during the extraction, based on the methods of glacier extraction before, we make up a set of glacier extraction work flow combined with the research area and research data. As a result, it is proved that the accuracy of the glacier extraction is high, and achieve the need of the research, on the other hand, we research the debris classification...
Road tracking is a promising technique to increase the efficiency of road mapping. In this paper, a new semi-automatic road tracker, parallel angular texture signature (PATS) is presented. The tracker is object-oriented in some sense, because it makes best use of the texture signature of road primitives on high-resolution remotely sensed imagery. Our tracker uses parabola to model the road trajectory...
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