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Hyperspectral Image Classification with Attention Aided CNNs
Convolutional neural networks (CNNs) have been widely used for hyperspec...
05/25/2020 ∙ by Renlong Hang, et al. ∙
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Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep
Hyperspectral images provide detailed spectral information through hundr...
03/05/2020 ∙ by Behnood Rasti, et al. ∙
7
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Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
In this paper, we propose an efficient and effective framework to fuse h...
02/04/2020 ∙ by Renlong Hang, et al. ∙
15
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Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
By considering the spectral signature as a sequence, recurrent neural ne...
02/28/2019 ∙ by Renlong Hang, et al. ∙
10
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Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification
This paper proposes a novel deep learning framework named bidirectional-...
03/23/2017 ∙ by Qingshan Liu, et al. ∙
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Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification
In this paper, we propose a multi-scale deep feature learning method for...
11/11/2016 ∙ by Qingshan Liu, et al. ∙
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Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification
Convolutional neural networks (CNNs) have attracted increasing attention...
11/11/2016 ∙ by Qingshan Liu, et al. ∙
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