Research Article
MM4Drone: A Multi-spectral Image and mmWave Radar Approach for Identifying Mosquito Breeding Grounds via Aerial Drones
@INPROCEEDINGS{10.1007/978-3-031-34586-9_27, author={K. T. Y. Mahima and Malith Weerasekara and Kasun De Zoysa and Chamath Keppitiyagama and Markus Flierl and Luca Mottola and Thiemo Voigt}, title={MM4Drone: A Multi-spectral Image and mmWave Radar Approach for Identifying Mosquito Breeding Grounds via Aerial Drones}, proceedings={Pervasive Computing Technologies for Healthcare. 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022, Proceedings}, proceedings_a={PERVASIVEHEALTH}, year={2023}, month={6}, keywords={Multispectral Imagery mmWave Radar Aerial Drones Object Detection}, doi={10.1007/978-3-031-34586-9_27} }- K. T. Y. Mahima
Malith Weerasekara
Kasun De Zoysa
Chamath Keppitiyagama
Markus Flierl
Luca Mottola
Thiemo Voigt
Year: 2023
MM4Drone: A Multi-spectral Image and mmWave Radar Approach for Identifying Mosquito Breeding Grounds via Aerial Drones
PERVASIVEHEALTH
Springer
DOI: 10.1007/978-3-031-34586-9_27
Abstract
Mosquitoes spread disases such as Dengue and Zika that affect a significant portion of the world population. One approach to hamper the spread of the disases is to identify the mosquitoes’ breeding places. Recent studies use drones to detect breeding sites, due to their low cost and flexibility. In this paper, we investigate the applicability of drone-based multi-spectral imagery and mmWave radios to discover breeding habitats. Our approach is based on the detection of water bodies. We introduce our Faster R-CNN-MSWD, an extended version of the Faster R-CNN object detection network, which can be used to identify water retention areas in both urban and rural settings using multi-spectral images. We also show promising results for estimating extreme shallow water depth using drone-based multi-spectral images. Further, we present an approach to detect water with mmWave radios from drones. Finally, we emphasize the importance of fusing the data of the two sensors and outline future research directions.
