Header

UZH-Logo

Maintenance Infos

Range adaptive processing and multisquint processing mode for SAR image change detection


Mendez Dominguez, Elias; Frioud, Max; Small, David; Henke, Daniel (2018). Range adaptive processing and multisquint processing mode for SAR image change detection. In: EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, Aachen, 4 June 2018 - 7 June 2018, 137-142.

Abstract

Synthetic Aperture Radar (SAR) image change detection enables mapping for applications such as human activity monitoring and urban studies. In this work we analyze the use of adaptive range processing and multisquint processing for change detection purposes. Numerical evaluation showed that both processing methods can reduce errors caused by image artifacts while preserving detection rates similar to those offered by the corresponding matched filtering and single-look processing. When changes were caused by isotropic targets, best results were obtained when combining range adaptive and multisquint processing.

Abstract

Synthetic Aperture Radar (SAR) image change detection enables mapping for applications such as human activity monitoring and urban studies. In this work we analyze the use of adaptive range processing and multisquint processing for change detection purposes. Numerical evaluation showed that both processing methods can reduce errors caused by image artifacts while preserving detection rates similar to those offered by the corresponding matched filtering and single-look processing. When changes were caused by isotropic targets, best results were obtained when combining range adaptive and multisquint processing.

Statistics

Citations

Altmetrics

Downloads

2 downloads since deposited on 11 Jan 2019
2 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:7 June 2018
Deposited On:11 Jan 2019 11:05
Last Modified:11 Jan 2019 19:30
Publisher:IEEE
ISBN:978-3-8007-4636-1
OA Status:Closed
Official URL:https://ieeexplore.ieee.org/document/8437980/authors#authors

Download

Content: Published Version
Language: English
Filetype: PDF - Registered users only
Size: 900kB