Research activities
This SmartSat-CRC funded research project, undertaken from March 2022 – October 2023, focused on providing a solution for energy-efficient, AI-based onboard processing of hyperspectral[1] imagery for early fire smoke detection. This is part of the Kanyini satellite mission pipeline. The key activities related to the Curtin node staff (work formerly done while at UniSA) were generation of a comprehensive hyperspectral training dataset labelled with ‘Smoke’, ‘Cloud’, ‘Mixed’ and ‘Clear’. This hyperspectral training is a derivation of a novel ‘HyperScout-2 Smoke Detection Algorithm’ (HSSDA) for automated detection of smoke and other atmospheric aerosols.
[1] Hyperspectral imaging captures large portions of defined sections of the electromagnetic spectrum.
Curtin University
Dr Eriita Jones
University of South Australia
Dr Stefan Peters (Project Lead), Dr Sha Lu, Prof. Jixue Liu, Prof. Jiuyong Li, Dr Jim O’Hehir
Swinburne University of Technology
Prof. Kai Qin, Prof. Yu Sun
Geoscience Australia
Dr Norman Mueller, Dr Simon Oliver
Indonesia National Research and Innovation Agency BRIN
Dr Parwati Sofan
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Publication
Check out our publication on adapting a lightweight convolutional neural network model to fit the computational constraints of the upcoming Kanyini mission with Hyperscout-2 camera. We show that onboard AI for fire smoke detection with our algorithms can significantly improve downlink efficiency, energy consumption, and detection speed of Australian bushfires.
S. Lu et al., “Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 9629-9640, 2024, doi: 10.1109/JSTARS.2024.3394574.
Technical Report
Read about our research in our technical report.
SmartSat 2023, Energy efficient onboard AI for early fire-smoke detection, SmartSat Technical Report no. 11, SmartSat, Adelaide, Australia. Authors: Stefan Peters, Sha Lu, Eriita Jones, Jixue Liu, Jiuyong Li, Jim O’Hehir (University of South Australia); Kai Qin, Yu Sun (Swinburne University); Norman Mueller, Simon Oliver (Geoscience Australia).
Article
Read more on this work with an article published by Space Connect, “New technique revolutionises bushfire detection from space”, 05 June 2024.