DeepLab-Based Spatial Feature Extraction for Hyperspectral Image Classification.
IEEE Geoscience and Remote Sensing Letters(2019)
Abstract
Recently, deep learning has been used for hyperspectral image classification (HSIC) due to its powerful feature learning and classification ability. In this letter, a novel deep learning-based framework based on DeepLab is proposed for HSIC. Inspired by the excellent performance of DeepLab in semantic segmentation, the proposed framework applies DeepLab to excavate spatial features of the hyperspe...
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Key words
Feature extraction,Convolution,Support vector machines,Training,Semantics,Hyperspectral imaging,Machine learning
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