IEEE

ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications

Abstract: Tree species classification plays a crucial role in forest management, biodiversity conservation, and ecological monitoring. Light detection and ranging (LiDAR) technology, capturing highly ...

AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...
Frontiers

Sixty years of population-based survival monitoring in childhood and adolescent cancer: evidence from Slovenia

Background: Long-term survival of children and adolescents (CA) diagnosed with cancer has hardly been researched in Slovenia. Our aim was to present the survival trend at the population level over a ...
IEEE

Enhancing Hyperspectral Image Analysis With Deep Learning: An Innovative Hybrid Approach for Improved Detection and Classification Using Deep-Detect

Abstract: Surface material identification using hyperspectral imaging (HSI) analysis is a crucial and challenging issue in remote sensing. Researchers widely recognize that exploiting spectral-spatial ...