Integrated Orientation of Hyperspectral Images Collected with UAV

• Grant number: 14/05033-7
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: November 01, 2014
• End date: October 31, 2017
• Field of knowledge: Physical Sciences and Mathematics - Geosciences - Geodesy
• Principal Investigator: Antonio Maria Garcia Tommaselli
• Grantee: Adilson Berveglieri
• Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil

Abstract

In recent years, the reduction of biodiversity is one of the most important issues. There is the need for mapping information in large scale and monitoring of environmental change to conduct conservation actions. For this project, the study sites are reforestation areas of the Atlantic Forest in the west region of São Paulo. Radiometric and geometric information should be acquired from these areas to generate time series. Hyperspectral and LASER sensors connected with GPS and inertial systems will be mounted on lightweight Unmanned Aerial Vehicle (UAV). The hyperspectral frame camera system will collected multiple images of the objects to be used in photogrammetric block triangulation. To ensure the quality of direct orientation data and to generate accurate products, the project proposes an approach of integrated sensor orientation for data treatment provided by direct georeferencing. Various problems encompassing internal and external geometry of the images should be overcome, such as the use and integration of new types of sensors, instability of the imaging system as well as the radiometric response of the vegetation, which is typically a homogeneous surface that complicates the image matching. Experiments will be conducted in reforestation ecological corridors. The assessment of the integrated orientation will be performed based on analyses of discrepancies from check points, which should be surveyed in field with GPS receiver. As a result, photogrammetric products will be generated for aerial monitoring and decision making, e.g., orthomosaics, surface digital models and thematic maps.

Scientific publications

(10)

(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)

GARCIA TOMMASELLI, ANTONIO MARIA; BERVEGLIERI, ADILSON. MEASURING PHOTOGRAMMETRIC CONTROL TARGETS IN LOW CONTRAST IMAGES. Bol. Ciênc. Geod., v. 24, n. 2, p. 171-185, APR-JUN 2018. (13/50426-4, 14/05033-7)

BERVEGLIERI, ADILSON; TOMMASELLI, ANTONIO; LIANG, XINLIAN; HONKAVAARA, EIJA. Photogrammetric measurement of tree stems from vertical fisheye images. SCANDINAVIAN JOURNAL OF FOREST RESEARCH, v. 32, n. 8, p. 737-747, 2017. (13/50426-4, 14/05033-7)

BERVEGLIERI, ADILSON; IMAI, NILTON N.; TOMMASELLI, ANTONIO M. G.; CASAGRANDE, BALTAZAR; HONKAVAARA, EIJA. Successional stages and their evolution in tropical forests using multi-temporal photogrammetric surface models and superpixels. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 146, p. 548-558, DEC 2018. (13/50426-4, 14/05033-7)

BERVEGLIERI, ADILSON; TOMMASELLI, ANTONIO M. G.; LIANG, XINLIAN; HONKAVAARA, EIJA. Vertical Optical Scanning with Panoramic Vision for Tree Trunk Reconstruction. SENSORS, v. 17, n. 12, DEC 2017. (14/05033-7, 13/50426-4)

BERVEGLIERI, ADILSON; TOMMASELLI, ANTONIO M. G.. Automatic Measurement of Control Points for Aerial Image Orientation. PHOTOGRAMMETRIC RECORD, v. 32, n. 158, p. 141-159, JUN 2017. (10/16954-5, 14/05033-7, 13/50426-4)

BERVEGLIERI, ADILSON; GARCIA TOMMASELLI, ANTONIO MARIA; SANTOS, LUCAS DIAS; HONKAVAARA, EIJA. Bundle Adjustment of a Time-Sequential Spectral Camera Using Polynomial Models. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 57, n. 11, p. 9252-9263, NOV 2019. (13/50426-4, 14/05033-7)

BERVEGLIERI, ADILSON; IMAI, NILTON N.; CHRISTOVAM, LUIZ E.; GALO, MARIA L. B. T.; TOMMASELLI, ANTONIO M. G.; HONKAVAARA, EIJA. Analysis of trends and changes in the successional trajectories of tropical forest using the Landsat NDVI time series. REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, v. 24, NOV 2021. (13/50426-4, 14/05033-7)

BERVEGLIERI, ADILSON; IMAI, NILTON N.; TOMMASELLI, ANTONIO M. G.; MARTINS-NETO, RORAI P.; MIYOSHI, GABRIELA TAKAHASHI; HONKAVAARA, EIJA. Forest cover change analysis based on temporal gradients of the vertical structure and density. ECOLOGICAL INDICATORS, v. 126, JUL 2021. (13/50426-4, 14/05033-7)

BERVEGLIERI, ADILSON; TOMMASELLI, ANTONIO MARIA GARCIA. Geometric Filtering of Matches Between Points in Bands of Hyperspectral Cubes. IEEE Geoscience and Remote Sensing Letters, v. 16, n. 3, p. 492-496, MAR 2019. (13/50426-4, 14/05033-7)

BERVEGLIERI, ADILSON; TOMMASELLI, ANTONIO M. G.. Reconstruction of Cylindrical Surfaces Using Digital Image Correlation. SENSORS, v. 18, n. 12, DEC 2018. (13/50426-4, 14/05033-7)