NDLI: Hierarchical Hybrid Decision Tree Fusion of Multiple Hyperspectral Data Processing Chains

Content Provider	IEEE Xplore Digital Library
Author	Bakos, K.L. Gamba, P.
Copyright Year	1980
Abstract	In many practical applications of hyperspectral remotely sensed data, maps of different land cover classes or features of interest are best achieved by means of different processing algorithms and techniques. In this paper, we introduce a novel methodology to build a multistage hierarchical data processing approach that is able to combine the advantages of different processing chains, which may be best suited for specific classes, or simply already available to the data interpreters. The combination process is carried out using a hierarchical hybrid decision tree architecture where, at each node, the most useful input information source, i.e., the processing chain, is used. The structure of the tree is created by using the predicted accuracy level of the whole structure estimated on a validation set. The final maps are achieved by applying the designed framework to the whole data set. The usefulness of the procedure is proved by two instances of a specific application, i.e., vegetation mapping, in mountainous and plain areas.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	388
Ending Page	394
Page Count	7
File Size	719938
File Format	PDF
ISSN	01962892
Volume Number	49
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision trees Hyperspectral imaging Data processing Hyperspectral sensors Vegetation mapping Principal component analysis Feature extraction Testing Neural networks Accuracy hyperspectral remote sensing Classification decision fusion
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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