Deep Multiple Instance Learning-Based Spatial-Spectral Classification for PAN and MS Imagery

Panchromatic (PAN) and multispectral (MS) imagery classification is one of the hottest topics in the field of remote sensing. In recent years, deep learning techniques have been widely applied in many areas of image processing. In this paper, an end-to-end learning framework based on deep multiple i...

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Vydáno v:	IEEE transactions on geoscience and remote sensing Ročník 56; číslo 1; s. 461 - 473
Hlavní autoři:	Liu, Xu, Jiao, Licheng, Zhao, Jiaqi, Zhao, Jin, Zhang, Dan, Liu, Fang, Yang, Shuyuan, Tang, Xu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Artificial neural networks Classification Convolution Deep learning Feature extraction feature fusion Frameworks Fuses Image classification Image processing Imagery joint features Machine learning multiple instance learning Multisensor fusion Neural networks Remote sensing Spatial data Spatial discrimination learning Spatial resolution Spectra Spectral classification
ISSN:	0196-2892, 1558-0644
On-line přístup:	Získat plný text
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