Tree species identification using bark images is a challenging problem that could prove
useful for many forestry related tasks. However, while the recent progress in deep learning …

Identifying forest types is crucial in satellite remote sensing monitoring. Research focusing
on the identification of forest tree species using high-resolution remote sensing images is on …

Tree species identification and tree organ segmentation using images are challenging
problems that are useful in many forestry-related tasks. In this paper, the urban street tree …

The information of urban tree species resources is of vital significance to the planning and
design of urban green spaces. Tree organs, such as the bark are used as the primary …

Purpose: The aim of this paper is to demonstrate that it is possible to identify tree species
from images of barks by using transfer learning method with convolutional neural networks …

The significance of plant identification has already been recognized by academia and
industry. There were several attempts to utilize leaves and flowers for identification …

Recently, tree species identification has gained in popularity in the silviculture field. As a
result, recent works have focussed on recognition of adult evergreen forest trees based on …

Capturing subtle texture variations in remote sensing (RS) images with limited samples
remains a challenge for accurate tree classification. To address this, we propose local binary …

The ability to visually re-identify objects is a fundamental capability in vision systems.
Oftentimes, it relies on collections of visual signatures based on descriptors, such as SIFT or …

Due to the natural variability of the arboreal bark there are texture patterns in trunk images
with values belonging to more than one species. Thus, the present study analyzed the …