Hyperspectral classification is an important technique for remote sensing image analysis.
For the current classification methods, limited training data affect the classification results …

The existing optimization methods have the problem of image edge blur, which leads to a
high degree of shadow residue. In order to address this problem, reduce the shadow …

Wavelet Transforms is an Important Part of, Systems Theory and Signal Processing and
finds numerous important applications in Science and Engineering. In this paper, we …

Aiming at the problem of inaccurate matching results in the traditional three-dimensional
reconstruction algorithm of gymnastic skeleton, a three-dimensional motion skeleton …

The existing target detection and recognition technology has the problem of fuzzy features of
moving vehicles, which leads to poor detection effect. A moving car detection and …

Removing undesired reflection from a single image is in demand for computational
photography. Reflection removal methods are gradually effective because of the fast …