DocumentCode
711767
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
fYear
2015
fDate
March 30 2015-April 1 2015
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Urban Remote Sensing Event (JURSE), 2015 Joint
Conference_Location
Lausanne
Type
conf
DOI
10.1109/JURSE.2015.7120484
Filename
7120484
Link To Document