Title
Deep Multiple Instance Learning-Based Spatial-Spectral Classification for PAN and MS Imagery.
Abstract
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 instance learning (DMIL) is proposed for MS and PAN images' classification using the joint spectral a...
Year
DOI
Venue
2018
10.1109/TGRS.2017.2750220
IEEE Transactions on Geoscience and Remote Sensing
Keywords
Field
DocType
Feature extraction,Spatial resolution,Machine learning,Neural networks,Convolution,Fuses
Spatial analysis,Computer vision,Autoencoder,Pattern recognition,Convolutional neural network,Computer science,Multispectral image,Image processing,Feature extraction,Artificial intelligence,Deep learning,Artificial neural network
Journal
Volume
Issue
ISSN
56
1
0196-2892
Citations 
PageRank 
References 
6
0.40
33
Authors
8
Name
Order
Citations
PageRank
X.L. Liu11111.83
Licheng Jiao25698475.84
Jiaqi Zhao39710.63
Jin Zhao4463.90
Dan Zhang59721.44
Fang Liu61188125.46
Shuyuan Yang750948.76
Xu Tang8204.68