TCDNet: Tree Crown Detection From UAV Optical Images Using Uncertainty-Aware One-Stage Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3214281
Abstract: Tree crown detection plays a vital role in forestry management, resource statistics, and yield forecasting. Red, green and blue (RGB) high-resolution aerial images have emerged as a cost-effective source of data for tree crown detection.… read more here.
Keywords: network; tree crown; uav optical; detection ... See more keywords
Crown-CAM: Interpretable Visual Explanations for Tree Crown Detection in Aerial Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3271649
Abstract: Visual explanation of “black-box” models allows researchers in explainable artificial intelligence (XAI) to interpret the model’s decisions in a human-understandable manner. In this letter, we propose interpretable class activation mapping for tree crown detection (Crown-CAM)… read more here.
Keywords: crown cam; tree crown; visual explanations; cam ... See more keywords
A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network
Sign Up to like & getrecommendations! Published in 2021 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009180
Abstract: Broad scale remote sensing promises to build forest inventories at unprecedented scales. A crucial step in this process is to associate sensor data into individual crowns. While dozens of crown detection algorithms have been proposed,… read more here.
Keywords: dataset; benchmark dataset; crown detection; evaluation ... See more keywords