|Table of Contents|

Hyperspectral Image Classification Method Based on Watershed(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2015年01期
Page:
91-
Research Field:
计算机科学
Publishing date:

Info

Title:
Hyperspectral Image Classification Method Based on Watershed
Author(s):
Shu Su; Yang Ming; Zhao Zhenkai
School of Computer Science and Technology,Nanjing Normal University,Nanjing 210023,China
Keywords:
watershed; hyperspectral; image classification
PACS:
TP751
DOI:
-
Abstract:
Hyperspectral image classification has attracted a great deal of attention. Many machine learning methods have been applied in hyperspectral image classification,such as SVM,neural network and decision tree,etc. In order to increase classification performances,people usually integrate of spatial information into the classification process. In this paper,we will present how to use spatial information obtained by watershed segmentation to obtain a more accurate classification results. We obtained the regional imformation by watershed segment and then adopted different strategies to get the category of the points in an area according to the area whether it contains the training sample. SVM and the joint sparse representation are used on two images to verify the effectiveness of the proposed method. Experimental results show that our algorithm outperforming some other similar methods.

References:

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Last Update: 2015-03-30