Assessment of an improved individual tree detection method based on local-maximum algorithm from unmanned aerial vehicle RGB imagery in overlapping canopy mountain forests
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1809024
Abstract: ABSTRACT Low consumer-grade cameras attached to small unmanned aerial vehicles (UAV) can easily acquire high spatial resolution images, leading to convenient forest monitoring at small-scales for forest managers. However, most studies were carried out in… read more here.
Keywords: local maximum; detection; maximum algorithm; method ... See more keywords
Single-tree detection in high-density LiDAR data from UAV-based survey
Sign Up to like & getrecommendations! Published in 2018 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2018.1474722
Abstract: ABSTRACT Unmanned aerial vehicle-based LiDAR survey provides very-high-density point clouds, which involve very rich information about forest detailed structure, allowing for detection of individual trees, as well as demanding high computational load. Single-tree detection is… read more here.
Keywords: high density; single tree; survey; tree detection ... See more keywords
A Crown Guess and Selection Framework for Individual Tree Detection From ALS Point Clouds
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3171771
Abstract: Individual tree detection from airborne laser scanning (ALS) point clouds is the basis for forestry inventory and further applications. In the past decade, many methods have been developed to localize tree instances in ALS point… read more here.
Keywords: point clouds; als point; tree detection; framework ... See more keywords
Multisource-Domain Generalization-Based Oil Palm Tree Detection Using Very-High-Resolution (VHR) Satellite Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3061726
Abstract: Providing accurate and timely oil palm information on a large scale is essential for both economic development and ecological significance. However, owing to different sensors, photograph acquisition conditions, and environmental heterogeneity, the large volume and… read more here.
Keywords: oil; palm tree; oil palm; domain ... See more keywords
Detecting Occluded and Dense Trees in Urban Terrestrial Views With a High-Quality Tree Detection Dataset
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3184300
Abstract: Urban trees are often densely planted along the two sides of a street. When observing these trees from a fixed view, they are inevitably occluded with each other and the passing vehicles. The high density… read more here.
Keywords: tree detection; occluded dense; detection; high quality ... See more keywords