Ground Truth Simulation for Deep Learning Classification of Mid-resolution Venus Images Via Unmixing of High-resolution Hyperspectral Fenix Data

I Faran; NS Netanyahu; E David; M Shoshany; F Kizel; JG Chang; R Rud

Ground Truth Simulation for Deep Learning Classification of Mid-resolution Venus Images Via Unmixing of High-resolution Hyperspectral Fenix Data

I Faran, NS Netanyahu, E David, M Shoshany, F Kizel, JG Chang, R Rud

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	American English
Title of host publication	2019 Ieee International Geoscience And Remote Sensing Symposium (igarss 2019)
Pages	807-810
Number of pages	4
State	Published - 2019

Keywords

VEN mu S satellite
Convolutional neural network
Deep learning
Hyperspectral image classification
Unmixing

Cite this

@inproceedings{2487ebc3007246c7a37985871896f783,

title = "Ground Truth Simulation for Deep Learning Classification of Mid-resolution Venus Images Via Unmixing of High-resolution Hyperspectral Fenix Data",

keywords = "VEN mu S satellite, Convolutional neural network, Deep learning, Hyperspectral image classification, Unmixing",

author = "I Faran and NS Netanyahu and E David and M Shoshany and F Kizel and JG Chang and R Rud",

year = "2019",

language = "American English",

pages = "807--810",

booktitle = "2019 Ieee International Geoscience And Remote Sensing Symposium (igarss 2019)",

}

Ground Truth Simulation for Deep Learning Classification of Mid-resolution Venus Images Via Unmixing of High-resolution Hyperspectral Fenix Data. / Faran, I; Netanyahu, NS; David, E et al.
2019 Ieee International Geoscience And Remote Sensing Symposium (igarss 2019). 2019. p. 807-810.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Ground Truth Simulation for Deep Learning Classification of Mid-resolution Venus Images Via Unmixing of High-resolution Hyperspectral Fenix Data

AU - Faran, I

AU - Netanyahu, NS

AU - David, E

AU - Shoshany, M

AU - Kizel, F

AU - Chang, JG

AU - Rud, R

PY - 2019

Y1 - 2019

KW - VEN mu S satellite

KW - Convolutional neural network

KW - Deep learning

KW - Hyperspectral image classification

KW - Unmixing

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=barilanwos&SrcAuth=WosAPI&KeyUT=WOS:000519270600187&DestLinkType=FullRecord&DestApp=WOS

M3 - Conference contribution

SP - 807

EP - 810

BT - 2019 Ieee International Geoscience And Remote Sensing Symposium (igarss 2019)

ER -

Ground Truth Simulation for Deep Learning Classification of Mid-resolution Venus Images Via Unmixing of High-resolution Hyperspectral Fenix Data

Keywords

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Cite this