Spectral – spatial urban target detection for hyperspectral remote sensing data using artificial neural network

The Egyptian Journal of Remote Sensing and Space Science ◽

10.1016/j.ejrs.2021.01.002 ◽

2021 ◽

Vol 24 (2) ◽

pp. 173-180

Author(s):

Shalini Gakhar ◽

Kailash Chandra Tiwari

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Target Detection ◽

Remote Sensing Data ◽

Hyperspectral Remote Sensing ◽

Sensing Data ◽

Artificial Neural

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A Novel Method to Estimate Subpixel Temperature by Fusing Solar-Reflective and Thermal-Infrared Remote-Sensing Data With an Artificial Neural Network

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2009.2033180 ◽

2010 ◽

Vol 48 (4) ◽

pp. 2170-2178 ◽

Author(s):

Guijun Yang ◽

Ruiliang Pu ◽

Wenjiang Huang ◽

Jihua Wang ◽

Chunjiang Zhao

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Remote Sensing Data ◽

Thermal Infrared ◽

Thermal Infrared Remote Sensing ◽

Sensing Data ◽

Infrared Remote Sensing ◽

Novel Method ◽

Artificial Neural

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Grassland aboveground biomass retrieval from remote sensing data by using artificial neural network in temperate grassland, northern China

2014 The Third International Conference on Agro-Geoinformatics ◽

10.1109/agro-geoinformatics.2014.6910628 ◽

2014 ◽

Author(s):

Y. X. Jin ◽

B. Xu ◽

X. C. Yang ◽

Z. H. Qin ◽

J. Y. Li ◽

...

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Aboveground Biomass ◽

Remote Sensing Data ◽

Northern China ◽

Temperate Grassland ◽

Sensing Data ◽

Artificial Neural

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Explicit Inverse of Soil Moisture Retrieval with an Artificial Neural Network Using Passive Microwave Remote Sensing Data

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2008.4779086 ◽

2008 ◽

Author(s):

Soo-See Chai ◽

Bert Veenendaal ◽

Geoff West ◽

Jeffrey P. Walker

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Soil Moisture ◽

Remote Sensing Data ◽

Microwave Remote Sensing ◽

Passive Microwave ◽

Passive Microwave Remote Sensing ◽

Sensing Data ◽

Artificial Neural

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Fast and efficient land-cover classification of multispectral remote sensing data using artificial neural network techniques

Proceedings of 13th International Conference on Digital Signal Processing ◽

10.1109/icdsp.1997.628531 ◽

2002 ◽

Author(s):

N. Vassilas ◽

E. Charou ◽

S. Varoufakis

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Remote Sensing Data ◽

Land Cover Classification ◽

Sensing Data ◽

Multispectral Remote Sensing ◽

Artificial Neural

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Integrating artificial neural network and classical methods for unsupervised classification of optical remote sensing data

EURASIP Journal on Advances in Signal Processing ◽

10.1186/1687-6180-2012-165 ◽

2012 ◽

Vol 2012 (1) ◽

Author(s):

Ahmed AK Tahir

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Remote Sensing Data ◽

Unsupervised Classification ◽

Optical Remote Sensing ◽

Sensing Data ◽

Artificial Neural

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An attempt for development of pavements temperature prediction models based on remote sensing data and artificial neural network

International Journal of Pavement Engineering ◽

10.1080/10298436.2021.1873334 ◽

2021 ◽

pp. 1-10

Author(s):

Ali Rigabadi ◽

Morteza Rezaei Zadeh Herozi ◽

Alireza Rezagholilou

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Prediction Models ◽

Remote Sensing Data ◽

Temperature Prediction ◽

Sensing Data ◽

Artificial Neural

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Artificial neural network model for identifying taxi gross emitter from remote sensing data of vehicle emission

Journal of Environmental Sciences ◽

10.1016/s1001-0742(07)60071-0 ◽

2007 ◽

Vol 19 (4) ◽

pp. 427-431 ◽

Author(s):

Jun ZENG ◽

Hua-fang GUO ◽

Yue-ming HU

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Remote Sensing Data ◽

Vehicle Emission ◽

Sensing Data ◽

Artificial Neural

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Quantitative assessment of soil salinity using remote sensing data based on the artificial neural network, case study: Sharif Abad Plain, Central Iran

Modeling Earth Systems and Environment ◽

10.1007/s40808-020-01015-1 ◽

2020 ◽

Author(s):

Vahid Habibi ◽

Hasan Ahmadi ◽

Mohammad Jafari ◽

Abolfazl Moeini

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Soil Salinity ◽

Quantitative Assessment ◽

Remote Sensing Data ◽

Central Iran ◽

Sensing Data ◽

Artificial Neural

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Application of Artificial Neural Network (ANN) to Predict Soil Organic Matter Using Remote Sensing Data in Two Ecosystems

Biomass and Remote Sensing of Biomass ◽

10.5772/18956 ◽

2011 ◽

Author(s):

Shamsollah Ayoubi ◽

Ahmahdreza Pilehvar ◽

Parisa Mokhtari ◽

Kanwar L.

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Organic Matter ◽

Soil Organic Matter ◽

Remote Sensing Data ◽

Sensing Data ◽

Artificial Neural ◽

Artificial Neural Network Ann

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Quantitative assessment of soil salinity using multi-source remote sensing data based on the support vector machine and artificial neural network

International Journal of Remote Sensing ◽

10.1080/01431161.2018.1513180 ◽

2018 ◽

Vol 40 (1) ◽

pp. 284-306 ◽

Author(s):

Hong Jiang ◽

Yusufujiang Rusuli ◽

Tureniguli Amuti ◽

Qing He

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Support Vector Machine ◽

Soil Salinity ◽

Quantitative Assessment ◽

Remote Sensing Data ◽

Support Vector ◽

Sensing Data ◽

Artificial Neural

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