The K-V model alleviates the problem that the forest fire thermal infrared image is difficult to be segmented due to the presence of smoke masking, boundary blur of the fire area and regional dispersion of the fire area.
Experiments are on a data set obtained by transforming the forest fire thermal infrared images collected on the Internet. This paper tests the running time and ...
Forest Fire Thermal Infrared Image Segmentation Based on K-V Model*. May 2021 ... An image segmentation approach of forest fire area based on aerial image.
Feb 1, 2023 · A new saliency detection method was proposed; the method is useful for the fast location and segmentation of the aerial image of the wildfire.
In this paper, a new incremental Chan-Vese model for fast image segmentation is presented. We define two concepts: signed member function and signed area, and ...
Jun 2, 2024 · This paper broadens our study scope after addressing image classification and object detection. Weshift focus to semantic segmentation, ...
Missing: KV | Show results with:KV
Oct 17, 2022 · The first is through ground monitoring, including infrared, video, and radar monitoring, and the other is air monitoring, primarily through ...
This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing. It covers a range ...
In this research, a UAV (unmanned aerial vehicle) system for detecting and locating forest fires is developed. This system uses the information from two ...
Jul 9, 2022 · The principle behind the proposed work is that the image brightness and motion clues are used with the image processing techniques that depend ...