A Study On Synthetic Aperture Radar Image Classification With Deep Learning

Huang, Zhongling (2020) A Study On Synthetic Aperture Radar Image Classification With Deep Learning. Dissertation, Aerospace Information Research Institute, Chinese Academy of Sciences.

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Item URL in elib:

https://elib.dlr.de/138394/

Document Type:

Thesis (Dissertation)

Title:

A Study On Synthetic Aperture Radar Image Classification With Deep Learning

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Huang, Zhongling	Aerospace Information Research Institute, Chinese Academy of Sciences	UNSPECIFIED	UNSPECIFIED

Date:

September 2020

Journal or Publication Title:

A Study On Synthetic Aperture Radar Image Classification With Deep Learning

Refereed publication:

Open Access:

Yes

Number of Pages:

150

Status:

Published

Keywords:

Synthetic Aperture Radar (SAR) Image Classification, Deep Learning, Transfer Learning, Convolutional Neural Networks (CNNs), Physical Scattering Properties

Institution:

Aerospace Information Research Institute, Chinese Academy of Sciences

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Earth Observation

DLR - Research area:

Raumfahrt

DLR - Program:

R EO - Earth Observation

DLR - Research theme (Project):

R - SAR methods

Location:

Oberpfaffenhofen

Institutes and Institutions:

Remote Sensing Technology Institute > EO Data Science

Deposited By:

Bratasanu, Ion-Dragos

Deposited On:

26 Nov 2020 15:36

Last Modified:

26 Nov 2020 15:36

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