Recursive Automatic Target Generation Process in Subpixel Detection

Chein I. Chang, Cheng Gao, Shi Yu Chen

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Automatic target generation process (ATGP) has been used in a wide range of applications in hyperspectral image analysis. It performs a sequence of orthogonal subspace projections to extract potential targets of interest. This letter presents a recursive version of the ATGP, which is referred to as the recursive ATGP (RATGP) and has three advantages over the ATGP as follows: 1) there is no need of inverting a matrix as the ATGP does for finding each new target; 2) there is a significant reduction in the computational complexity in the hardware design due to its recursive structure; and 3) there is an automatic stopping rule that can be derived by the Neyman-Pearson detection theory to terminate the algorithm.

Original languageEnglish
Article number7137619
Pages (from-to)1848-1852
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Volume12
Issue number9
DOIs
Publication statusPublished - 2015 Sept 1

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering

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