Buscar
Mostrando ítems 1-10 de 17
PHOTOGRAMMETRIC POINT CLOUD CLASSIFICATION BASED ON GEOMETRIC AND RADIOMETRIC DATA INTEGRATION
(Univ Federal Parana, Centro Politecnico, 2019-01-01)
The extraction of information from point cloud is usually done after the application of classification methods based on the geometric characteristics of the objects. However, the classification of photogrammetric point ...
Urban scene classification using features extracted from photogrammetric point clouds acquired by uav
(2019-06-04)
Images and LiDAR point clouds are the two major data sources used by the photogrammetry and remote sensing community. Although different, the synergy between these two data sources has motivated exploration of the potential ...
Individual tree detection and classification with UAV-Based photogrammetric point clouds and hyperspectral imaging
(2017-03-01)
Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering completely new possibilities to carry out remote sensing tasks. ...
Tree species classification in a highly diverse subtropical forest integrating UAV-based photogrammetric point cloud and hyperspectral data
(2019-06-01)
The use of remote sensing data for tree species classification in tropical forests is still a challenging task, due to their high floristic and spectral diversity. In this sense, novel sensors on board of unmanned aerial ...
Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data
(2020-04-02)
The classification of tree species can significantly benefit from high spatial and spectral information acquired by unmanned aerial vehicles (UAVs) associated with advanced classification methods. This study investigated ...
Extraction of building roof planes with stratified random sample consensus
(2018-09-01)
This paper describes a consensus-set estimation for building roof-plane detection using a stratified random sample consensus (sRANSAC) algorithm applied to point clouds acquired by laser scanning systems. The main idea is ...
Canopy height model generation from historical images for monitoring of regeneration in atlantic rain forestGeração de Modelo de Altura de Árvore Usando Imagens Aéreas Históricas para o Monitoramento da Regeneração em Floresta Tropical de Mata Atlântica
(2019-01-01)
3D reconstruction of forest canopy for retrospective studies over time is possible from historical aerial photographs using modern photogrammetric algorithms. This enables the structural change analysis in forested areas ...
Canopy Height Model Generation from Historical Images for Monitoring of Regeneration in Atlantic Rain ForestGeração de Modelo de Altura de Árvore Usando Imagens Aéreas Históricas para o Monitoramento da Regeneração em Floresta Tropical de Mata Atlântica
(Centro de Ciências Matemáticas e da Natureza, Instituto de Geociências, Universidade Feder, 2020)