GROUND TRUTH SIMULATION FOR DEEP LEARNING CLASSIFICATION OF MID-RESOLUTION VENUS IMAGES VIA UNMIXING OF HIGH-RESOLUTION HYPERSPECTRAL FENIX DATA

Ido Faran; Nathan S. Netanyahu; Eli (Omid) David; Maxim Shoshany; Fadi Kizel; Jisung Geba Chang; Ronit Rud

doi:https://doi.org/10.1109/IGARSS.2019.8900186

GROUND TRUTH SIMULATION FOR DEEP LEARNING CLASSIFICATION OF MID-RESOLUTION VENUS IMAGES VIA UNMIXING OF HIGH-RESOLUTION HYPERSPECTRAL FENIX DATA

Ido Faran, Nathan S. Netanyahu, Eli (Omid) David, Maxim Shoshany, Fadi Kizel, Jisung Geba Chang, Ronit Rud

Technion - Israel Institute of Technology

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

Original language	English
Title of host publication	IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publication	Proceedings
Pages	807-810
Number of pages	4
ISBN (Electronic)	9781538691540, 9781538691533
DOIs	https://doi.org/10.1109/IGARSS.2019.8900186
State	Published - 2019
Event	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	28/07/19 → 2/08/19

Access to Document

https://doi.org/10.1109/IGARSS.2019.8900186

Cite this

Faran, I., Netanyahu, N. S., David, E., Shoshany, M., Kizel, F., Chang, J. G., & Rud, R. (2019). GROUND TRUTH SIMULATION FOR DEEP LEARNING CLASSIFICATION OF MID-RESOLUTION VENUS IMAGES VIA UNMIXING OF HIGH-RESOLUTION HYPERSPECTRAL FENIX DATA. In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 807-810) https://doi.org/10.1109/IGARSS.2019.8900186

@inproceedings{0e2af641a1894b6d90439707db8b76de,

title = "GROUND TRUTH SIMULATION FOR DEEP LEARNING CLASSIFICATION OF MID-RESOLUTION VENUS IMAGES VIA UNMIXING OF HIGH-RESOLUTION HYPERSPECTRAL FENIX DATA",

author = "Ido Faran and Netanyahu, {Nathan S.} and David, {Eli (Omid)} and Maxim Shoshany and Fadi Kizel and Chang, {Jisung Geba} and Ronit Rud",

note = "Additional titles: 1) 2019 IEEE International Geoscience & Remote Sensing Symposium: PROCEEDINGS; 2) IGARSS 2019: 2019 IEEE International Geoscience and Remote Sensing Symposium: July 28-August 2, 2019 Yokohama, JAPAN Pacifico Yokohama; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",

year = "2019",

doi = "https://doi.org/10.1109/IGARSS.2019.8900186",

language = "الإنجليزيّة",

isbn = "9781538691557",

pages = "807--810",

booktitle = "IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium",

}

Faran, I, Netanyahu, NS, David, E, Shoshany, M, Kizel, F, Chang, JG & Rud, R 2019, GROUND TRUTH SIMULATION FOR DEEP LEARNING CLASSIFICATION OF MID-RESOLUTION VENUS IMAGES VIA UNMIXING OF HIGH-RESOLUTION HYPERSPECTRAL FENIX DATA. in IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. pp. 807-810, 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 28/07/19. https://doi.org/10.1109/IGARSS.2019.8900186

GROUND TRUTH SIMULATION FOR DEEP LEARNING CLASSIFICATION OF MID-RESOLUTION VENUS IMAGES VIA UNMIXING OF HIGH-RESOLUTION HYPERSPECTRAL FENIX DATA. / Faran, Ido; Netanyahu, Nathan S.; David, Eli (Omid) et al.
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. 2019. p. 807-810.

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

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T1 - GROUND TRUTH SIMULATION FOR DEEP LEARNING CLASSIFICATION OF MID-RESOLUTION VENUS IMAGES VIA UNMIXING OF HIGH-RESOLUTION HYPERSPECTRAL FENIX DATA

AU - Faran, Ido

AU - Netanyahu, Nathan S.

AU - David, Eli (Omid)

AU - Shoshany, Maxim

AU - Kizel, Fadi

AU - Chang, Jisung Geba

AU - Rud, Ronit

N1 - Additional titles: 1) 2019 IEEE International Geoscience & Remote Sensing Symposium: PROCEEDINGS; 2) IGARSS 2019: 2019 IEEE International Geoscience and Remote Sensing Symposium: July 28-August 2, 2019 Yokohama, JAPAN Pacifico Yokohama

PY - 2019

Y1 - 2019

U2 - https://doi.org/10.1109/IGARSS.2019.8900186

DO - https://doi.org/10.1109/IGARSS.2019.8900186

M3 - منشور من مؤتمر

SN - 9781538691557

SP - 807

EP - 810

BT - IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019

Y2 - 28 July 2019 through 2 August 2019

ER -

Faran I, Netanyahu NS, David E, Shoshany M, Kizel F, Chang JG et al. GROUND TRUTH SIMULATION FOR DEEP LEARNING CLASSIFICATION OF MID-RESOLUTION VENUS IMAGES VIA UNMIXING OF HIGH-RESOLUTION HYPERSPECTRAL FENIX DATA. In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. 2019. p. 807-810 doi: https://doi.org/10.1109/IGARSS.2019.8900186