Detection of floating mines in infrared sequences by multiscale geometric filtering

Dominique Florins; Antoine Manzanera

doi:10.1117/12.918420

10 May 2012 Detection of floating mines in infrared sequences by multiscale geometric filtering

Dominique Florins, Antoine Manzanera

Proceedings Volume 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII; 83571Q (2012) https://doi.org/10.1117/12.918420
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Automatic detection of oating mines by passive sensing is of major interest, yet remains a hard problem. In this paper, we propose an algorithm to detect them in infrared sequences, based on their geometry, provided by spatial derivatives. In infrared images, oating mines contrast with the sea due to the dierence of emissivity at low incidence angles: they form bright elliptical areas. Using the available data and the geometry of our camera, we rst determine the scales of interest, which represent the possible size of mines in number of pixels. Then, we use a temporal and a morphological lter to perform smoothing in the time dimension and contrast enhancement in the space dimensions, at the selected scales, and calculate for every pixel the Hessian matrix, composed of the second order derivatives, which are estimated in the classical scale-space framework, by convolving the image with derivatives of Gaussian. Based on the eigenvalues of the Hessian matrix, representing the curvatures along the principal directions of the image, we dene two parameters describing the eccentricity of an elliptical area and the contrast with sea, and propose a measure of mine-likeliness" that will be high for bright elliptical regions with selected eccentricy. At the end, we only retain pixels with high mine-likeliness, stable in time, as potential mines. Using a dataset of 10 sequences with ground truth, we evaluated the performance and stability of our algorithm, and obtained a precision between 80% and 100%, and a per-frame recall between 30% and 100%, depending on the diculty of the scenarios.

Citation Download Citation

Dominique Florins and Antoine Manzanera "Detection of floating mines in infrared sequences by multiscale geometric filtering", Proc. SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 83571Q (10 May 2012); https://doi.org/10.1117/12.918420

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Mining

Infrared radiation

Land mines

Infrared imaging

Infrared detectors

Cameras

Detection and tracking algorithms

Show All Keywords

Keywords/Phrases

Search In:

Publication Years