@incollection{,
	
					
					
					8016440F286A4E7BBD2B03CAE66725F6
				,
	author={{Dr. Ekambaram KesavuluReddy}},
	journal={{Global Journal of Computer Science and Technology}},
	journal={{GJCST}}0975-41720975-435010.34257/gjcst,
	address={Cambridge, United States},
	publisher={Global Journals Organisation}2225359
}

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		,
	title={{Transferring deep convolutional neural networks for the scene classifification of high-resolution remote sensing imagery. Remote Sens}}
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	author={{
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	title={{Bidirectionalconvolutional LSTM based spectral-spatial feature learning for hyperspectral image classifification}}
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	author={{
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	title={{Joint dictionary learning for multispectral change detection}}
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	title={{A deep learning method for change detection in synthetic aperture radar images}}
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	author={{
			YLi
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			CPeng
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			57
			
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}

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	title={{Densely based multiscale and multi-modal fully convolutional networks for highresolution remotesensing image semantic segmentation}}
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	author={{
			CPeng
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@incollection{b13,
	
	
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	title={{Cover Classification from a Mapping Perspective: Pixelwise Supervision in the Deep Learning Era}}
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	title={{SEN12MS-A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion}}
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@incollection{b16,
	
	
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	title={{Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding}}
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				the IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing SymposiumYokohama, Japan
		
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@incollection{b17,
	
	
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	title={{On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID}}
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@book{b18,
	
	
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	title={{Remote Sensing Digital Image Analysis: An Introduction}}
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@incollection{b20,
	
	
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	title={{High-Resolution Remote Sensing Image Classification Method Based on Convolutional Neural Network and Restricted Conditional Random Field}}
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@incollection{b21,
	
	
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	title={{Deep Learning in Remote Sensing Applications: A Meta-Analysis and Review}}
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@incollection{b22,
	
	
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	title={{Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data}}
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@incollection{b23,
	
	
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	title={{Active Deep Learning for Classification of Hyperspectral Images}}
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@incollection{b24,
	
	
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	title={{Asymmetric Adaptation of Deep Features for Cross-Domain Classification in Remote Sensing Imagery}}
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@incollection{b25,
	
	
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	title={{Deep Feature Alignment Neural Networks for Domain Adaptation of Hyperspectral Data}}
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@incollection{b27,
	
	
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	title={{A Review of Fine-Scale Land Use and Land Cover Classification in Open-Pit Mining Areas by Remote Sensing Techniques}}
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@incollection{b28,
	
	
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	title={{Deep Filter Banks for Land-Use Scene Classification}}
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@incollection{b29,
	
	
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	title={{A Framework for Land Use Scenes Classification Based on Landscape Photos}}
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			SZhang
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	title={{Mapping Heterogeneous Urban Landscapes from the Fusion of Digital Surface Model and Unmanned Aerial Vehicle-Based Images Using Adaptive Multiscale Image Segmentation and Classification}}
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@incollection{b31,
	
	
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	title={{Multitemporal Relearning with Convolutional LSTM Models for Land Use Classification}}
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	author={{
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}