Advertisement

Anomaly Detection Technique of HSI

  • Liguo WangEmail author
  • Chunhui Zhao
Chapter
  • 2.3k Downloads

Abstract

Due to the significant value in both military area and civil area, hyperspectral remote sensing imagery detection has been widely developed in recent 20 years. Anomaly detection algorithms could detect pixels, which is distinct from the surrounding background without any prior knowledge. In real applications, anomaly detection has received considerable interest in hyperspectral imaging since it is very difficult to obtain target information, and on the other hand, it is influenced by atmospheric transport, background, and imaging equipment error.

Keywords

Anomaly Detection Hyperspectral Image Mathematical Morphology Radial Basis Kernel Function False Alarm Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Mei F (2009) Hyperspectral anomaly target detection algorithm research based on nuclear machine learning. Harbin Engineering University master’s degree thesis, HarbinGoogle Scholar
  2. You J (2011) The hyperspectral image anomaly detection algorithm research based on kernel method. Harbin Engineering University master’s degree thesis, HarbinGoogle Scholar
  3. Zhang WS (2009) Hyperspectral images small target detection algorithm research based on the kernel method. Harbin Engineering University master’s degree thesis, HarbinGoogle Scholar

Copyright information

© National Defense Industry Press, Beijing and Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Harbin Engineering UniversityHarbinChina

Personalised recommendations