Title :
Spectral derivative features for supervised classification of remote sensing data: An experimental evaluation
Author :
Jiangfeng Bao ; Mingmin Chi ; Benediktsson, Jon Atli
Author_Institution :
Sch. of Comput. Sci., Fudan Univ., Shanghai, China
Abstract :
Derivatives of spectral reflectance signatures can capture salient features of different land-cover classes. This information is widely used for supervised classification of remote sensing data. In the paper, we study the issue when the derivatives of spectral reflectance work for supervised classification of remote sensing data and give an empirical conclusion in terms of a large amount of experimental evaluations.
Keywords :
geophysical image processing; image classification; remote sensing; land-cover classes; remote sensing data; spectral derivative features; spectral reflectance signatures; spectral reflectance work; supervised classification; Abstracts; Educational institutions; Hyperspectral imaging; Logic gates; Support vector machines; Spectral derivatives; hyperspectral data; remote sensing;
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4th Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3405-8
DOI :
10.1109/WHISPERS.2012.6874247
