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Bayesian Fusion of Active Contour Models and ConvNet Priors for Standing Dead Tree Segmentation
Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao +1
Instance segmentation is a core computer vision task with great practical significance. Recent advances, driven by large-scale benchmark datasets, have yielded good general-purpose…
Classification of Single Tree Decay Stages from Combined Airborne LiDAR Data and CIR Imagery
Tsz Chung Wong, Abubakar Sani-Mohammed, Jinhong Wang +3
Understanding forest health is of great importance for the conservation of the integrity of forest ecosystems. In this regard, evaluating the amount and quality of dead wood is of…
A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery
Jacquelyn A. Shelton, Przemyslaw Polewski, Wei Yao +1
The stability and ability of an ecosystem to withstand climate change is directly linked to its biodiversity. Dead trees are a key indicator of overall forest health, housing one-t…
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors
Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao +1
In this paper, we introduce a framework for segmenting instances of a common object class by multiple active contour evolution over semantic segmentation maps of images obtained th…