DocumentCode :
1977400
Title :
Multi-date Satellite Images for Reducing Classification Confusion between Deciduous Forest and Evergreen Forest
Author :
Zhu, Yonghua ; Chen, Sizuo ; Wang, Yulong ; Zhu, Zhe
Author_Institution :
Sch. of Civil Eng., Wuhan Univ., Wuhan
Volume :
6
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
85
Lastpage :
88
Abstract :
This paper used the Landsat images to do the maximum likelihood classification. Firstly, we used one early Sept. image to do the maximum likelihood classification. There is significant confusion between deciduous forest and evergreen forest. Then we used early Sept. and late Oct. images together to do the maximum likelihood classification. Due to the apparent different spectral signature in the two-date images, we find after using this new method, the confusion between deciduous forest and evergreen forest is reduced significantly. In order to better assess the accuracy, we used the revised area estimates, and provided the 95 percent confident intervals.
Keywords :
forestry; geophysical signal processing; image classification; maximum likelihood estimation; remote sensing; spectral analysis; Landsat image; deciduous forest; evergreen forest; maximum likelihood classification; multidate satellite image; revised area estimate; spectral signature; Agriculture; Classification tree analysis; Lakes; Layout; Maximum likelihood estimation; Oceans; Remote sensing; Rivers; Satellites; Water resources; Landsat; Maximum Likelihood; Multi-date; Revised Area Estimates;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.839
Filename :
4723202
Link To Document :
بازگشت