Ground Object Information Extraction from Hyperspectral Remote Sensing Images Using Deep Learning Algorithm

Microprocessors and Microsystems ◽

10.1016/j.micpro.2021.104394 ◽

2021 ◽

pp. 104394

Author(s):

Zhengyang Wang ◽

Shufang Tian

Keyword(s):

Remote Sensing ◽

Deep Learning ◽

Information Extraction ◽

Learning Algorithm ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Deep Learning Algorithm ◽

Ground Object ◽

Hyperspectral Remote Sensing Images

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Evaluation of Deep Learning CNN Model for Land Use Land Cover Classification and Crop Identification Using Hyperspectral Remote Sensing Images

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-019-01041-2 ◽

2019 ◽

Vol 47 (11) ◽

pp. 1949-1958 ◽

Cited By ~ 4

Author(s):

Kavita Bhosle ◽

Vijaya Musande

Keyword(s):

Remote Sensing ◽

Land Use ◽

Deep Learning ◽

Land Cover ◽

Land Cover Classification ◽

Hyperspectral Remote Sensing ◽

Land Use Land Cover ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images

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Object-oriented remote sensing image information extraction method based on multi-classifier combination and deep learning algorithm

Pattern Recognition Letters ◽

10.1016/j.patrec.2020.08.028 ◽

2021 ◽

Vol 141 ◽

pp. 32-36

Author(s):

Qulin Tan ◽

Bin Guo ◽

Jun Hu ◽

Xiaofeng Dong ◽

Jiping Hu

Keyword(s):

Remote Sensing ◽

Deep Learning ◽

Information Extraction ◽

Extraction Method ◽

Learning Algorithm ◽

Object Oriented ◽

Remote Sensing Image ◽

Classifier Combination ◽

Image Information ◽

Deep Learning Algorithm

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Hyperspectral Remote Sensing Images Classification Using Fully Convolutional Neural Network

2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus) ◽

10.1109/elconrus51938.2021.9396673 ◽

2021 ◽

Author(s):

Nyan Linn Tun ◽

Alexander Gavrilov ◽

Naing Min Tun ◽

Do Minh Trieu ◽

Htet Aung

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Convolutional Neural Network ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images

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3D Expansion of SRCNN for Spatial Enhancement of Hyperspectral Remote Sensing Images

10.1109/icspis53734.2021.9652420 ◽

2021 ◽

Author(s):

Nour Aburaed ◽

Mohammed Q. Alkhatib ◽

Stephen Marshall ◽

Jaime Zabalza ◽

Hussain Al Ahmad

Keyword(s):

Remote Sensing ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images ◽

Spatial Enhancement

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Spectral-Spatial Classification of Hyperspectral Remote Sensing Images Using Minimum Spanning Forest and Markov Random Field Classifier

Journal of Environmental Science Computer Science and Engineering & Technology ◽

10.24214/jecet.a.10.4.67488 ◽

2021 ◽

Vol 10 (4) ◽

Keyword(s):

Remote Sensing ◽

Random Field ◽

Markov Random Field ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Spanning Forest ◽

Markov Random ◽

Minimum Spanning Forest ◽

Hyperspectral Remote Sensing Images

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Analysis of Hyperspectral Remote Sensing Images for Extraction Geological Rock Types Maps by Geospatial Techniques

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/901/1/012016 ◽

2020 ◽

Vol 901 ◽

pp. 012016

Author(s):

Sabah Jaber Hussein ◽

Zainab Fakhri Merzah

Keyword(s):

Remote Sensing ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Geospatial Techniques ◽

Rock Types ◽

Hyperspectral Remote Sensing Images

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Dictionary‐Based Automated Information Extraction From Geological Documents Using a Deep Learning Algorithm

Earth and Space Science ◽

10.1029/2019ea000993 ◽

2020 ◽

Vol 7 (3) ◽

Cited By ~ 1

Author(s):

Qinjun Qiu ◽

Zhong Xie ◽

Liang Wu ◽

Liufeng Tao

Keyword(s):

Deep Learning ◽

Information Extraction ◽

Learning Algorithm ◽

Deep Learning Algorithm

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Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2018.2874432 ◽

2019 ◽

Vol 30 (6) ◽

pp. 1790-1802 ◽

Cited By ~ 17

Author(s):

Jiangtao Peng ◽

Luoqing Li ◽

Yuan Yan Tang

Keyword(s):

Remote Sensing ◽

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Sparse Representation ◽

Likelihood Estimation ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Joint Sparse Representation ◽

Hyperspectral Remote Sensing Images

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Small Sample Classification of Hyperspectral Remote Sensing Images Based on Sequential Joint Deeping Learning Model

IEEE Access ◽

10.1109/access.2020.2986267 ◽

2020 ◽

Vol 8 ◽

pp. 71353-71363 ◽

Cited By ~ 11

Author(s):

Zesong Wang ◽

Cui Zou ◽

Weiwei Cai

Keyword(s):

Remote Sensing ◽

Learning Model ◽

Hyperspectral Remote Sensing ◽

Small Sample ◽

Remote Sensing Images ◽

Sample Classification ◽

Hyperspectral Remote Sensing Images

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A new search algorithm for feature selection in hyperspectral remote sensing images

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.934069 ◽

2001 ◽

Vol 39 (7) ◽

pp. 1360-1367 ◽

Cited By ~ 223

Author(s):

S.B. Serpico ◽

L. Bruzzone

Keyword(s):

Remote Sensing ◽

Feature Selection ◽

Search Algorithm ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images

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