Drone-based near-infrared imaging system for remote search of targets in difficult terrain

We present the design, optimization and test of a sensor-system developed for the Florida Fish and Wildlife Conservation Commission (FWC) to survey wildlife, especially Burmese Pythons that are invading south Florida. The sensor uses active illumination in the near infrared (NIR) to enhance target contrast and defeat the pythons’ natural camouflage in cluttered vegetation. The system uses a small unmanned aerial system (sUAS) for search while controlled from a ground station integrated on a truck. It supports search day and night to allow for seasonal variations in python activity. We detail the development of the sensor payload including transition to pulsed illumination to combat motion blur during night search. Finally, we summarize system performance for this challenging search task.

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Publication Details

Published
2025-05-30
DOI
https://doi.org/10.1117/12.3052682
Primary Topic
Infrared Target Detection Methodologies
Type
article
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article

Drone-based near-infrared imaging system for remote search of targets in difficult terrain

C.L. Hong, Thomas P. Watson, C. Kyle Renshaw, Li Zhang
Infrared Target Detection Methodologies
article

Drone-based near-infrared imaging system for remote search of targets in difficult terrain

C.L. Hong, Thomas P. Watson, C. Kyle Renshaw, Li Zhang
article en

Abstract

We present the design, optimization and test of a sensor-system developed for the Florida Fish and Wildlife Conservation Commission (FWC) to survey wildlife, especially Burmese Pythons that are invading south Florida. The sensor uses active illumination in the near infrared (NIR) to enhance target contrast and defeat the pythons’ natural camouflage in cluttered vegetation. The system uses a small unmanned aerial system (sUAS) for search while controlled from a ground station integrated on a truck. It supports search day and night to allow for seasonal variations in python activity. We detail the development of the sensor payload including transition to pulsed illumination to combat motion blur during night search. Finally, we summarize system performance for this challenging search task.

University of Central Florida (US), University of Memphis (US)
Climate action
Openalex Percentile: Top 84%
Infrared Target Detection Methodologies
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Drone-based near-infrared imaging system for remote search of targets in difficult terrain — C.L. Hong, Thomas P. Watson, et al. · (2025) | TGRS Research Map | TGRS