PIC2017 Workshop on Hyperspectral Image Analysis and Applications

Particular interests include, but are not limited to the following areas:

Algorithm Design and Development for

• Structured Sparse, Low Rank and Tensor Representation

• Multimodalities remote Sensing and information fusion

• Representation Learning based hyperspectral imagery

• Anomaly detection/Target detection and identification

• Un/Semi-supervised and supervised classification

• Subpxiel detection in Remote Sensing

• Mixed pixel analysis and Linear spectral unmixing

• Endmember finding and extraction

• High Performance Computing (GPU, Cloud Computing,etc.) 

• Applications in Medical Diagnosis, Chemical Detection, Biometric Recognition, etc