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Fusion of Dual Spatial Information for Hyperspectral Image Classification
The inclusion of spatial information into spectral classifiers for fine-...
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Hyperspectral Image Classification with Attention Aided CNNs
Convolutional neural networks (CNNs) have been widely used for hyperspec...
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Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep
Hyperspectral images provide detailed spectral information through hundr...
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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...
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Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
Up to the present, an enormous number of advanced techniques have been d...
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Deep Learning for Hyperspectral Image Classification: An Overview
Hyperspectral image (HSI) classification has become a hot topic in the f...
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Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones
This paper proposes a novel framework for fusing multi-temporal, multisp...
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Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
By considering the spectral signature as a sequence, recurrent neural ne...
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Multisource and Multitemporal Data Fusion in Remote Sensing
The sharp and recent increase in the availability of data captured by di...
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Using the SLEUTH urban growth model to simulate the impacts of future policy scenarios on urban land use in the Tehran metropolitan area in Iran
The SLEUTH model, based on the Cellular Automata (CA), can be applied to...
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Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study
In this paper, an approach is proposed to fuse LiDAR and hyperspectral d...
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