Target detection: the transition from unresolved to extended targets

Hickman, Duncan L.

doi:10.1117/12.2597227

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2022

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“…In the described way, it is possible to move from the point anomalies detection in infrared image to statistical anomalies detection in the thermal mosaic that corresponds to the mine segment size [25]. The operations sequence for thermal anomalies detection is described by the algorithm flowchart presented in Fig.…”

Section: Fig 5 Sliding Window With a Surrounding Ringmentioning

confidence: 99%

Method for Minefields Mapping by Imagery from Unmanned Aerial Vehicle

Popov

Stankevich

Mosov³

et al. 2022

AiMT

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The paper proposes a method for minefields mapping by the centimeter resolution imagery from a copter-type unmanned aerial vehicle (UAV) which is equipped with multispectral camera and thermal infrared camera. The research methodology is the probability fusion by each sensor and the subsequent decision making on the landmine presence/absence. Models for the landmine detection in multispectral and thermal images are considered. The training sample structuration is proposed for the landmine detection reliability enhancement. The local temperature anomalies of landmine size are allocated by sliding window scanning the thermal image. The experimental performance of actual landmines detection at a special test site in Ukraine is described. The probability of correct landmine detection was 0.92 while with a false alarm probability it was 0.45.

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Section: Fig 5 Sliding Window With a Surrounding Ringmentioning

confidence: 99%