Drones, also known as Unmanned Aerial Systems/Vehicles (UAS/UAV), or Remotely Piloted Aircraft, are used in wildfire surveillance and suppression. [1][2] They help in the detection, containment, and extinguishing of fires. [3] . They are also used for locating a hot spot, firebreak breaches, and then to deliver water to the affected site. [4] .

2022年1月1日 · Early wildfire detection using UAV and deep learning algorithms could be achieved through three main ways: wildfire image classification, wildfires detection based on object detection algorithms, and semantic segmentation-based wildfires detection.

This paper presents a survey of different approaches for the development of UAV fire assistance systems. Sensing instruments, fire perception algorithms and different coordination strategies have been described. UAVs can play an important role in …

19 小时之前 · NASA is collaborating with the wildfire community to provide tools for some of the most challenging aspects of firefighting – particularly aerial nighttime operations. In the future, agencies could more efficiently use drones, both remotely piloted and fully autonomous, to …

2022年3月3日 · First, a novel DL method was proposed to detect and classify wildfire using aerial images in order to improve detection and segmentation of wildland fires. Second, vision transformers were adopted for UAV wildfire segmentation to segment fire pixels and identify the precise shape of the fire.

Unmanned Aerial Systems (UAS)-based remote sensing (RS) provides valuable support for wildfire management efforts, enhancing both spatial and temporal resolution. The aim of this paper is to summarize the current applications of UAS operations for …

2022年11月17日 · While existing wildland fire datasets often include either color or thermal fire images, here we present (1) a multi-modal UAV-collected dataset of dual-feed side-by-side videos including both RGB and thermal images of a prescribed fire in an open canopy pine forest in Northern Arizona and (2) a deep learning-based methodology for detecting ...

2023年8月28日 · UC Davis’ new fire research utilizes drones and ground sensors for early wildfire detection, enhancing firefighter safety and promoting sustainability.

2024年12月12日 · We conduct extensive experiments on publicly available wildfire datasets, as well as a custom dataset captured from drones using multiple sensors. The results show that AMSO-SFS outperforms SOTA models in terms of accuracy, efficiency, and scalability.

2020年1月1日 · Using UAV-based frameworks to distinguish forests fire can give a fast and straightforward approach to fulfill the necessary prerequisites of forest putting out fires, as they can evade the downsides of frameworks dependent on satellites, kept an eye on aeronautical vehicles and ground types of equipment.