Parallel Compression Based on Prediction Algorithm of Hyper-spectral Imagery

Hyper-Spectral Image Compression

Hyper-spectral images consist of huge amount of data. This paper presents a compression technique developed specifically for these images. This technique explores unique characteristics of the hyper-spectral images and incorporates them into the compression. It also exploits the wavelet transformation and bit plane entropy coding used in general image compression. In this technique, predicting ...

FLIC: Fast & Lossless Image Compression Algorithm for Hyper-Spectral Images

Parallel Spectral Clustering Algorithm Based on Hadoop

Spectral clustering and cloud computing is emerging branch of computer science or related discipline. It overcome the shortcomings of some traditional clustering algorithm and guarantee the convergence to the optimal solution, thus have to the widespread attention. This article first introduced the parallel spectral clustering algorithm research background and significance, and then to Hadoop t...

Fast orthogonalization algorithm and parallel architecture for AR spectral estimation based on forward-backward linear prediction

3D Classification of Urban Features Based on Integration of Structural and Spectral Information from UAV Imagery

Three-dimensional classification of urban features is one of the important tools for urban management and the basis of many analyzes in photogrammetry and remote sensing. Therefore, it is applied in many applications such as planning, urban management and disaster management. In this study, dense point clouds extracted from dense image matching is applied for classification in urban areas. Appl...