EXTRACTION AND REGULARIZATION OF BUILDING CONTOURS FROM LiDAR DATA USING ALPHA-SHAPE ALGORITHM AND PRINCIPAL COMPONENT ANALYSIS

• Grant number: 16/20814-0
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: April 01, 2017
• End date: November 30, 2017
• Field of knowledge: Physical Sciences and Mathematics - Geosciences - Geodesy
• Principal Investigator: Mauricio Galo
• Grantee: Renato César dos Santos
• Supervisor: Ayman Habib
• Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil
• Institution abroad: Purdue University, United States
• Associated to the scholarship: 16/12167-5 - EXTRACTION AND REGULARIZATION OF BUILDING CONTOURS FROM LiDAR DATA USING ALPHA-SHAPE ALGORITHM AND PRINCIPAL COMPONENT ANALYSIS, BP.DR

Abstract

In the last decades, the processes involved in building extraction from LiDAR data have been the subject of several studies. One of the main interests of the scientific community is related to the generated data set, which can be used to generate or update geographic information systems. The contribution of this project is the development of a methodology that allows the automatic extraction and regularization of straight-line and curved contours in 3D space, since the available methods in the literature have been performed the regularization in 2D space and have not been considered curved segment. To perform the extraction and regularization the idea is to combine Principal Component Analysis (PCA) and alpha-shape algorithm. The main goals of this internship in Purdue University are: to improve the proposed novel method for extraction and regularization of building contours; explore the use of eigenvectors as a metric to identify the type of segment (straight-line or curved) and select the points that compose the same segment; and to gain international experience. Beside, the results obtained during the internship will be analyzed through qualitative and quantitative analysis using real data.

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)

DOS SANTOS, RENATO CESAR; GALO, MAURICIO; HABIB, AYMAN F.. Regularization of Building Roof Boundaries from Airborne LiDAR Data Using an Iterative CD-Spline. REMOTE SENSING, v. 12, n. 12, JUN 2020. (16/20814-0, 19/05268-8, 16/12167-5)