Results 21 to 30 of about 1,465,159 (304)
Deep Learning-Based Segmentation of Intertwined Fruit Trees for Agricultural Tasks
Agriculture, 2023 Fruit trees in orchards are typically placed at equal distances in rows; therefore, their branches are intertwined. The precise segmentation of a target tree in this situation is very important for many agricultural tasks, such as yield estimation ...
Young-Jae La +5 more
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Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods [PDF]
, 2010 Individual tree crown segmentation from airborne laser scanning (ALS) data often fails to detect all trees depending on the forest structure. This paper presents a new method to produce tree lists consistent with unbiased estimates at area level.
Olofsson, Kenneth +4 more
core +1 more source
Drones, 2022 Recent technical and jurisdictional advances, together with the availability of low-cost platforms, have facilitated the implementation of unmanned aerial vehicles (UAVs) in individual tree detection (ITD) applications.
Sam Ottoy +9 more
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Remote Sensing, 2021 Highly accurate and extensive datasets are needed for the practical implementation of precision forestry as a method of forest ecosystem management. Proper processing of huge datasets involves the necessity of the appropriate selection of methods for ...
Łukasz Kolendo +4 more
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Deep Semantic Segmentation of Trees Using Multispectral Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Forests can be efficiently monitored by automatic semantic segmentation of trees using satellite and/or aerial images. Still, several challenges can make the problem difficult, including the varying spectral signature of different trees, lack of ...
Irem Ulku +2 more
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Temporal Behavior Trees -- Segmentation [PDF]
Proceedings of the 27th ACM International Conference on Hybrid Systems: Computation and ControlWe present our tool for the segmentation of temporal behavior trees (TBT), a novel formalism for monitoring specifications. TBTs can be easily retrofitted to behavior trees, commonly used to program robotic applications. Our tool supports the robustness semantics of TBT and generates trace segmentations.
Sebastian Schirmer +5 more
openaire +3 more sources
A segmentation method for processing greenhouse vegetable foliar disease symptom images
Information Processing in Agriculture, 2019 Uneven illumination and clutter background were the most challenging problems to segmentation of disease symptom images. In order to achieve robust segmentation, a method for processing greenhouse vegetable foliar disease symptom images was proposed in ...
Juncheng Ma +4 more
doaj +1 more source
Stopping region-based image segmentation at meaningful partitions [PDF]
, 2007 This paper proposes a new stopping criterion for automatic image segmentation based on region merging. The criterion is dependent on image content itself and when combined with the recently proposed approaches to syntactic segmentation can produce ...
O'Connor, Noel E. +4 more
core +2 more sources
Comparing Deep Learning and MCWST Approaches for Individual Tree Crown Segmentation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesAccurate segmentation of individual tree crowns (ITC) segmentation is essential for investigating tree-level based growth trends and assessing tree vitality.
W. Fan +6 more
doaj +1 more source
Deep Learning-Based Automated Forest Health Diagnosis From Aerial Images
IEEE Access, 2020 Global climate change has had a drastic impact on our environment. Previous study showed that pest disaster occured from global climate change may cause a tremendous number of trees died and they inevitably became a factor of forest fire.
Chia-Yen Chiang +3 more
doaj +1 more source