Question 1

Why does forest-fire detection inference on a UAV create a resource problem?

Accepted Answer

Running CNN-based inference for forest-fire recognition can exhaust the UAV’s limited onboard computation, energy, and communication resources, making resource-aware deployment difficult.

Question 2

How does the proposed hierarchical framework reduce computation while preserving accuracy?

Accepted Answer

It adaptively switches between a lightweight machine-learning model and an advanced CNN model, performing deeper inference only when needed rather than continuously.

Question 3

How is the accuracy–computation tradeoff optimized in the proposed approach?

Accepted Answer

A multi-objective optimization problem is formulated to maximize detection efficiency while minimizing computational cost, and Pareto-optimal solutions are obtained by tuning a confidence-score threshold using TOPSIS.