A Research on the Combination Strategies of Multiple Features for Hyperspectral Remote Sensing Image Classification
Author:
Affiliation:
1. School of Transportation Engineering, Shenyang Jianzhu University, Shenyang 110168, China
2. School of Geography, South China Normal University, Guangzhou 510631, China
Abstract
Funder
TGRA Forest Cover and Dynamic Change Detection Based on Time Series Remote Sensing Images
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering
Link
http://downloads.hindawi.com/journals/js/2018/7341973.pdf
Reference35 articles.
1. A Spectral-Spatial Classification of Hyperspectral Images Based on the Algebraic Multigrid Method and Hierarchical Segmentation Algorithm
2. A New Band Selection Strategy for Target Detection in Hyperspectral Images
3. A spatial–spectral kernel-based approach for the classification of remote-sensing images
4. Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations
5. Distributed Classification of Localization Attacks in Sensor Networks Using Exchange-Based Feature Extraction and Classifier
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