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Haze and Smoke Removal for Visualization of Multispectral Images: A DNN Physics Aware Architecture

Coca, Iulia and Vaduva, Corina and Datcu, Mihai (2021) Haze and Smoke Removal for Visualization of Multispectral Images: A DNN Physics Aware Architecture. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2102-2105. Institute of Electrical and Electronics Engineers. IGARSS 2021, 11-16 July 2021, Brussels, Belgium. doi: 10.1109/IGARSS47720.2021.9553735. ISBN 978-1-6654-0369-6. ISSN 2153-7003.

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Official URL: https://ieeexplore.ieee.org/document/9553735


Remote sensing multispectral images are extensively used by applications in various fields. The degradation generated by haze or smoke negatively influences the visual analysis of the represented scene. In this paper, a deep neural network based method is proposed to address the visualization improvement of hazy and smoky images. The method is able to entirely exploit the information contained by all spectral bands, especially by the SWIR bands, which are usually not contaminated by haze or smoke. A dimensionality reduction of the spectral signatures or angular signatures is rapidly obtained by using a stacked autoencoders (SAE) trained based on contaminated images only. The latent characteristics obtained by the encoder are mapped to the R - G - B channels for visualization. The haze and smoke removal results of several Sentinel 2 scenes present an increased contrast and show the haze hidden areas from the initial natural color images.

Item URL in elib:https://elib.dlr.de/144959/
Document Type:Conference or Workshop Item (Speech)
Title:Haze and Smoke Removal for Visualization of Multispectral Images: A DNN Physics Aware Architecture
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Coca, IuliaUniversity POLITEHNICA of BucharestUNSPECIFIED
Vaduva, CorinaUniversity Politehnica BucharestUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:27 July 2021
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1109/IGARSS47720.2021.9553735
Page Range:pp. 2102-2105
Publisher:Institute of Electrical and Electronics Engineers
Keywords:Remote sensing, multispectral, haze and smoke removal, autoencoder, data visualization
Event Title:IGARSS 2021
Event Location:Brussels, Belgium
Event Type:international Conference
Event Dates:11-16 July 2021
Organizer:Institute of Electrical and Electronics Engineers
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 - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Otgonbaatar, Soronzonbold
Deposited On:18 Nov 2021 12:17
Last Modified:01 Jul 2022 03:00

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