標題: A NOVEL CLASSIFICATION PROCESSING BASED ON THE SPATIAL INFORMATION AND THE CONCEPT OF ADABOOST FOR HYPERSPECTRAL IMAGE CLASSIFICATION
作者: Kuo, Bor-Chen
Lin, Shih-Syun
Wu, Huey-Min
Chuang, Chun-Hsiang
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: Adaboost;multiple classifier system;hyperspectral data
公開日期: 2010
摘要: In this paper, a novel classification processing based on the spatial information and the concept of Adaboost for hyperspectral image classification is proposed. This classification process is named as adaptive feature extraction with spatial information (AdaFESI). The main idea is adaptive in the sense that subsequent feature spaces are tweaked in favor of those instances misclassified by spectral or spatial classifiers in the previous feature space. All training samples are projected into these feature spaces to train various classifiers and then constitute a multiple classifier system. The experimental results based on two hyperspectral data sets show that the proposed algorithm can generate better classification results.
URI: http://dx.doi.org/10.1109/IGARSS.2010.5650388
http://hdl.handle.net/11536/134852
ISBN: 978-1-4244-9566-5
ISSN: 2153-6996
DOI: 10.1109/IGARSS.2010.5650388
期刊: 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
起始頁: 2816
結束頁: 2819
Appears in Collections:Conferences Paper