Hyperspectral Imaging and Applications

Dear Colleagues,

Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging, The aim of this Special Issue is to develop new ideas and technologies to facilitate the utility of hyperspectral imaging and to further explore its potential in various applications. This Special Issue is three-fold, focusing on:

• developing new ideas, techniques in the following topics of interest (but not limited to them):
  • anomaly detection, target detection
  • application to multispectral/hyperspectral imaging
  • band selection, dimesnionality reduction, data compression
  • compressive sensing, sparse representation, tensor decomposition
  • unsupervised learning, active learning, deep learning
  • data/sensor/information fusion
  • endmember finding, extraction, variability
  • high performance computing
  • multispectral/hyperspectral image classification
  • hyperspectral unmixing
  • subpixel target analysis
  • hyperspectral data visualization
• algorithm design, architecture, and implementation:
  • real time processing
  • parallel processing
  • FPGA
• applications of hyperspectral imaging in remote sensing:
  • agriculture including detection of diseases, pesticide residuals for produces and crops
  • enviromental monitoring including toxic wastes, water pollution, oil spills and sewage
  • food safety and inspection including fruit grading, vegetable and meat contamination
  • forest and planatation including species detection and classification
  • restoration of cultural relics
  • medical imaging including partial volume estimation, lesion detection and tissue classification in magnetic resonance imaging
  • reconnassaince including rescue and search, active target detection
  • surveillance including passive target detection

Professor Chein-I Chang
Professor Meiping Song
Professor Junping Zhang
Professor Chao-Cheng Wu
Guest Editors