DEVELOPMENT AND ASSESSMENT OF TECHNIQUES FOR GENERATION OF DENSE POINTS CLOUD USING HYPERSPECTRAL IMAGES ACQUIRED BY UAV

• Grant number: 13/17787-3
• Support Opportunities: Scholarships in Brazil - Doctorate
• Effective date (Start): March 01, 2014
• Effective date (End): June 30, 2017
• Field of knowledge: Physical Sciences and Mathematics - Geosciences - Geodesy
• Principal Investigator: Antonio Maria Garcia Tommaselli
• Grantee: Raquel Alves de Oliveira
• Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil
• Associated scholarship(s): 14/24844-6 - Generation of DSM based on segmentation and classification of hyperspectral image, BE.EP.DR

Abstract

Digital Surface Models (DSM) are digital representations that store the heights of points on the terrain surface, including anthropic features and vegetation. Image matching is one of the main important techniques used for DSM generation. However, the available techniques have been developed to match images with low spectral resolution and the correspondence of hyperspectral images for generating DSM has only been marginally exploited. In addition, problems caused by occlusions, repetitive patterns, homogeneous areas and surface discontinuities are still challenges in the matching process, using both single band and multiple spectral bands. Hyperspectral data can be used in several applications, mainly where spectral characterization is needed. The aim of this project is to study, develop, implement and assess techniques of matching multiple images and multiple bands acquired by a hyperspectral camera onboard an UAV platform for the generation of 3D point clouds with spectral information included. To assess the quality of the developed procedure, the obtained DSM will be both analyzed relatively and compared to checkpoints.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DE OLIVEIRA, RAQUEL A.; TOMMASELLI, ANTONIO M. G.; HONKAVAARA, EIJA. Geometric Calibration of a Hyperspectral Frame Camera. PHOTOGRAMMETRIC RECORD, v. 31, n. 155, p. 325-347, SEP 2016. (13/50426-4, 14/24844-6, 13/17787-3)

OLIVEIRA, RAQUEL A.; TOMMASELLI, ANTONIO M. G.; HONKAVAARA, EIJA. Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 147, p. 345-360, JAN 2019. (14/24844-6, 13/50426-4, 13/17787-3)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

OLIVEIRA, Raquel Alves de. Generation of hyperspectral digital surface model in forest areas using hyperspectral 2D frame camera onboard RPAS. 2017. Doctoral Thesis - Universidade Estadual Paulista (Unesp). Faculdade de Ciências e Tecnologia. Presidente Prudente Presidente Prudente.