M
M.A.C. Degache
Researcher at Netherlands Organisation for Applied Scientific Research
Publications - 12
Citations - 103
M.A.C. Degache is an academic researcher from Netherlands Organisation for Applied Scientific Research. The author has contributed to research in topics: Infrared signature & Scintillometer. The author has an hindex of 5, co-authored 12 publications receiving 102 citations.
Papers
More filters
Proceedings ArticleDOI
Status and developments in EOSTAR, a model to predict IR sensor performance in the marine environment
Gerard J. Kunz,M.A.C. Degache,Marcel M. Moerman,Alexander M. J. van Eijk,Filip Neele,Stephen M. Doss-Hammel,Dimitri Tsintikidis +6 more
TL;DR: EOSTAR as mentioned in this paper is a computer program under development to estimate atmospheric effects using standard meteorological parameters and the properties of the sensor, which can be used for mission planning, sensor evaluation and selection, and education.
Proceedings ArticleDOI
Discriminating small extended targets at sea from clutter and other classes of boats in infrared and visual light imagery
TL;DR: In this article, the authors presented work on clutter reduction and classification of small extended targets from infrared and visual light imagery, with an emphasis on less complex techniques, such as rules and decision trees.
Proceedings ArticleDOI
EOSTAR Pro: a flexible extensive library to assess EO sensor performance
Alexander M. J. van Eijk,M.A.C. Degache,Dirk-Jan J. de Lange,Steve Hammel,Dimitris Tsintikidis +4 more
TL;DR: The FATMOSE trial (FAlse-bay ATMOSpheric Experiment) running over a period from November 2009 to July 2010 was a continuation of the cooperation between TNO and IMT on atmospheric propagation and point target detection and identification in a maritime environment.
Proceedings ArticleDOI
Discrimination of classes of ships for aided recognition in a coastal environment
TL;DR: This paper concentrates on discriminating classes of small vessels with different electro-optical systems (visual and infrared) as part of the larger process involving an operator, and addresses both selection of features and ways of using these in a system to assess threats.
Proceedings ArticleDOI
Modelling infrared signatures of ships and decoys for countermeasure effectiveness studies
TL;DR: In this paper, the authors present a simulation toolset for assessing the effectiveness of infrared signature reduction and decoys against simulated infrared seekers in a realistic sea and sky background (EOSTAR).