Feature extraction via spectro-temporal analysis of hyperspectral data for vegetative target detection

被引：0

作者：

Mathur, A ^{[1
]}

Bruce, LM ^{[1
]}

Robles, W ^{[1
]}

Madsen, J ^{[1
]}

机构：

[1] Mississippi State Univ, Dept Elect & Comp Engn, Mississippi State, MS 39762 USA

来源：

2005 International Workshop on the Analysis on Multi-Temporal Remote Sensing Images | 2005年

关键词：

hyperspectral; multitemporal; spectro-temporal maps; best feature selection; continuum removal;

D O I：

暂无

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

In this paper, the authors investigate the use of hyperspectral-multitemporal features for discriminating between two aquatic weed species, Waterhyacinth and Bulrush. Hyperspectral, multitemporal data is three-dimensional data that can be organized into a "spectro-temporal map" where the x-axis is time, y-axis is wavelength, and z-axis is reflectance. The authors present an algorithm based on a greedy search approach to extract pertinent features to solve the classification problem at hand.

引用

页码：64 / 66

页数：3