Statistical outlier detection method for airborne LiDAR data AC Carrilho, M Galo, RC Santos The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018 | 70 | 2018 |
Extraction of building roof boundaries from LiDAR data using an adaptive alpha-shape algorithm RC dos Santos, M Galo, AC Carrilho IEEE Geoscience and Remote Sensing Letters 16 (8), 1289-1293, 2019 | 32 | 2019 |
Regularization of building roof boundaries from airborne LiDAR data using an iterative CD-spline RC dos Santos, M Galo, AF Habib Remote Sensing 12 (12), 1904, 2020 | 14 | 2020 |
Automatic building change detection using multi-temporal airborne LiDAR data RC Dos Santos, M Galo, AC Carrilho, GG Pessoa, RAR De Oliveira 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS), 54-59, 2020 | 10 | 2020 |
Building boundary extraction from LiDAR data using a local estimated parameter for alpha shape algorithm RC Dos Santos, M Galo, AC Carrilho The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018 | 10 | 2018 |
Classification of LiDAR data over building roofs using k-means and principal component analysis RC Santos, M Galo, VM Tachibana Boletim de Ciências Geodésicas 24, 69-84, 2018 | 9 | 2018 |
The use of Otsu algorithm and multi-temporal airborne LiDAR data to detect building changes in urban space RC dos Santos, M Galo, AC Carrilho, GG Pessoa Applied Geomatics 13 (4), 499-513, 2021 | 7 | 2021 |
Comparative Evaluation of a Newly Developed Trunk-Based Tree Detection/Localization Strategy on Leaf-Off LiDAR Point Clouds with Varying Characteristics T Zhou, RC dos Santos, J Liu, YC Lin, WC Fei, S Fei, A Habib Remote Sensing 14 (15), 3738, 2022 | 6 | 2022 |
Building detection from lidar data using entropy and the k-means concept RC Dos Santos, GG Pessoa, AC Carrilho, M Galo The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 5 | 2019 |
Urban scene classification using features extracted from photogrammetric point clouds acquired by UAV GG Pessoa, RC Santos, AC Carrilho, M Galo, A Amorim The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 4 | 2019 |
Automatic Building Boundary Extraction from Airborne LiDAR Data Robust to Density Variation RC Dos Santos, GG Pessoa, AC Carrilho, M Galo IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 3 | 2020 |
Extração de feições retas e cálculo de entidades pontuais a partir de dados LASER para o ajustamento relativo de faixas RC Santos Universidade Estadual Paulista (Unesp), 2015 | 3 | 2015 |
Classificação de pontos 3D utilizando o conceito de análise de componentes principais RC DOS SANTOS, M GALO | 3 | 2014 |
Weighted Iterative CD-Spline for Mitigating Occlusion Effects on Building Boundary Regularization Using Airborne LiDAR Data RC Dos Santos, AF Habib, M Galo Sensors 22 (17), 6440, 2022 | 2 | 2022 |
K-Means Clustering Based on Omnivariance Attribute for Building Detection from Airborne Lidar Data RC Dos Santos, M Galo, AF Habib ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022 | 2 | 2022 |
Building change detection from multitemporal airborne LiDAR data: assessment of different approaches RC Dos Santos, M Galo, GG Pessoa, AC Carrilho Journal of Applied Remote Sensing 15 (4), 042414-042414, 2021 | 1 | 2021 |
Comparison between airborne LiDAR data and digital image matching for Surface Reconstruction AC Carrilho, RC Dos Santos, GG Pessoa, M Galo 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS …, 2020 | 1 | 2020 |
Avaliação da extração automática de edificações a partir de dados lidar aerotransportado AC Carrilho, M Galo, RC SANTOS, GG Pessoa Anais do COBRAC, 2018 | 1 | 2018 |
Classificação de nuvem de pontos LASER utilizando o conceito de análise de componentes principais e o fator de não ambiguidade RC Santos, M Galo Boletim de Ciências Geodésicas 22, 196-216, 2016 | 1 | 2016 |
Robust Building Detection in Urban Environments from Airborne LiDAR Data: A Geometry-Based Approach RC dos Santos, M Galo IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | | 2024 |