HUPERSPECTRAL DATA ANALYSIS

Anomaly detection for hyperspectral imaginary

A. Yu. Denisova^ab, V. V. Myasnikov<sup>ab

a</sup> Samara State Aerospace University
^b Image Processing Systems Institute, Russian Academy of Sciences

Abstract: In this paper authors offered several algorithms for anomaly detection on hyperspectral images. Algorithms used different ideas to describe anomalies. A comparison between offered in article algorithms and RXD-detector was provided. An advances of proposed solutions were overviewed.

Keywords: hyperspectral images, anomaly detection, spectral mismatch, RX anomaly detector.

Received: 29.03.2014