Image segmentation is the task of associating pixels in an image with their respective object
class labels. It has a wide range of applications in many industries including healthcare …

High-quality training data play a key role in image segmentation tasks. Usually, pixel-level
annotations are expensive, laborious and time-consuming for the large volume of training …

ABSTRACT Although the Convolutional Neural Network (CNN) has shown great potential
for land cover classification, the frequently used single-scale convolution kernel limits the …

Forest-canopy closure (FCC) reflects the coverage of the forest tree canopy, which is one of
the most important indicators of forest structure and a core parameter in forest resources …

The use of unmanned aerial vehicles (UAV) for forest monitoring has grown significantly in
recent years, providing information with high spatial resolution and temporal versatility. UAV …

ABSTRACT Individual Tree Detection-and-Counting (ITDC) is among the important tasks in
town areas, and numerous methods are proposed in this direction. Despite their many …

Old plantations are iconic sites, and estimating stand parameters is crucial for valuation and
management. This study aimed to estimate stand parameters of a 115-year-old Japanese …

ABSTRACT Stone Pine (Pinus pinea L.) is currently the pine species with the highest
commercial value with edible seeds. In this respect, this study introduces a new …

Due to the strong penetrability, long-wavelength synthetic aperture radar (SAR) can provide
an opportunity to reconstruct the three-dimensional structure of the penetrable media. SAR …

The location of trees and the individualization of their canopies are important parameters to
estimate diameter, height, and biomass, among other variables. The very high spatial …