Title :
On the effect of nonlinear mixing in hyperspectral images of human settlements
Author :
Marinoni, Andrea ; Gamba, Paolo
Author_Institution :
Dipt. di Ing. Ind. e dell´Inf., Univ. degli Studi di Pavia, Pavia, Italy
fDate :
March 30 2015-April 1 2015
Abstract :
In this paper, the nonlinear contribution of human settlements to mixture in hyperspectral images is investigated. Specifically, a method that aims to efficiently evaluate and estimate the extent of urban areas by taking advantage of the results provided by polynomial nonlinear unmixing based on polytope decomposition is proposed. Tests over real images shows how the proposed scheme can actually highlight anthropogenic extents over geometrically complex scenarios.
Keywords :
hyperspectral imaging; mixing; terrain mapping; anthropogenic extents; human settlements; hyperspectral images; nonlinear contribution; polynomial nonlinear unmixing; polytope decomposition; real images; urban areas; Atmosphere; Noise measurement;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2015 Joint
Conference_Location :
Lausanne
DOI :
10.1109/JURSE.2015.7120484