This paper develops several parallel algorithms for target detection in hyperspectral imagery, considered to be a crucial goal in many remote sensing ...

This paper develops several parallel algorithms for target de- tection in hyperspectral imagery, considered to be a crucial.

PDF | This paper develops several parallel algorithms for target detection in hyperspectral imagery, considered to be a crucial goal in many remote.

Automatic target and anomaly detection in hyperspectral images have attracted a lot of attention recently. During the last few years, several algorithms ...

This paper described several parallel algorithms for target and anomaly detection in hyperspectral image analysis. As a case study of specific issues ...

Bibliographic details on Parallel Implementation of Target and Anomaly Detection Algorithms for Hyperspectral Imagery.

hardware platform to accelerate target detection algorithms for hyperspectral imaging. ... “Real-time anomaly detection in hyperspectral images using ...

Jun 21, 2012 · In this work, the GPU implementation of three target detection algorithms for hyperspectral images was studied. The first two algorithms ...

In this paper, we describe several new GPU-based implementations of target and anomaly detection algorithms for hyperspectral data exploitation. The parallel ...