CNN-based track detection in coherent SAR imagery: a distinction between foot and vehicle tracks

Silvia Kuny; Horst Hammer; Antje Thiele

doi:10.1117/12.2688241

19 October 2023 CNN-based track detection in coherent SAR imagery: a distinction between foot and vehicle tracks

Silvia Kuny, Horst Hammer, Antje Thiele

Proceedings Volume 12734, Earth Resources and Environmental Remote Sensing/GIS Applications XIV; 127340E (2023) https://doi.org/10.1117/12.2688241
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

The goal of this paper is to assess the capability of a CNN based algorithm to detect vehicle and foot tracks and to distinguish them. The used CNN architecture has already proven to be very effective for the segmentation of vehicle tracks in previous work and thus was chosen for this investigation. Foot tracks in general are of a poorer distinctness and not as linear or constant as vehicle tracks. Also, when heavily overlapping, the signatures of foot tracks loose some of their structural features and instead are more likely to be distinguishable by their texture. Thus, two approaches for segmentation labeling are investigated: First, a line-based labeling, which considers the individual tracks; and second a region-based labeling, allowing for textural features. How well these two labeling approaches perform, is tested and results are shown regarding the detection of foot tracks and their distinction from vehicle tracks.

Conference Presentation

Citation Download Citation

Silvia Kuny, Horst Hammer, and Antje Thiele "CNN-based track detection in coherent SAR imagery: a distinction between foot and vehicle tracks", Proc. SPIE 12734, Earth Resources and Environmental Remote Sensing/GIS Applications XIV, 127340E (19 October 2023); https://doi.org/10.1117/12.2688241

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available