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Multiscale Classification By Using Optimum Path-Forest

Grant number: 12/18768-0
Support Opportunities:Scholarships in Brazil - Post-Doctoral
Start date: April 01, 2013
End date: August 31, 2013
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Ricardo da Silva Torres
Grantee:Jefersson A dos Santos
Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Nowadays, the main problems in region recognition of remote sensing images are: (1) the dependence of the classification methodson the segmentation quality; and (2) the selection of representativesamples for training. The major challenge is that the samplesindicated by the user are not always enough to define the best segmentation scale.Furthermore, the indication of samples can be costly, since it often requires to visit studied places in loco.The objective of this research project is to develop aninteractive multiscale classification approach that allows segmentation andclassification refinement according to user indications. The segmentation-dependence problem will be addressed by using techniques that rely on multiple scales instead ofonly one segmentation result. The selection of representative samples, in turn, willbe supported by the development of new approaches based on active learning with user interactions.The proposed method will be validated in three applications associated withdistinct research areas found at Institute of Computing, Unicamp: (1) phenologicalpattern recongnition; (2) agricultural region classification by usingmultisensor data; and (3) illegal region identification in aerial images.

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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)
DOS SANTOS, JEFERSSON A.; PENATTI, OTAVIO A. B.; GOSSELIN, PHILIPPE-HENRI; FALCAO, ALEXANDRE X.; PHILIPP-FOLIGUET, SYLVIE; TORRES, RICARDO DA S.. Efficient and Effective Hierarchical Feature Propagation. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 7, n. 12, SI, p. 4632-4643, . (13/50155-0, 12/18768-0, 09/10554-8, 13/50169-1)
FARIA, FABIO A.; DOS SANTOS, JEFERSSON A.; ROCHA, ANDERSON; TORRES, RICARDO DA S.. A framework for selection and fusion of pattern classifiers in multimedia recognition. PATTERN RECOGNITION LETTERS, v. 39, n. SI, p. 52-64, . (12/18768-0, 10/14910-0, 10/05647-4)
FARIA, FABIO A.; DOS SANTOS, JEFERSSON A.; ROCHA, ANDERSON; TORRES, RICARDO DA S.. A framework for selection and fusion of pattern classifiers in multimedia recognition. PATTERN RECOGNITION LETTERS, v. 39, p. 13-pg., . (10/14910-0, 12/18768-0, 10/05647-4)
FARIA, FABIO A.; PEDRONETTE, DANIEL C. G.; DOS SANTOS, JEFERSSON A.; ROCHA, ANDERSON; TORRES, RICARDO DA S.. Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 7, n. 4, p. 1103-1115, . (10/14910-0, 12/18768-0, 13/08645-0, 10/05647-4)
ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.; IEEE. Plant Species Identification with Phenological Visual Rhythms. 2013 IEEE 9TH INTERNATIONAL CONFERENCE ON E-SCIENCE (E-SCIENCE), v. N/A, p. 7-pg., . (12/18768-0, 13/50155-0, 10/52113-5, 11/11171-5)
SAITO, PRISCILA T. M.; NAKAMURA, RODRIGO Y. M.; AMORIM, WILLIAN P.; PAPA, JOAO P.; DE REZENDE, PEDRO J.; FALCAO, ALEXANDRE X.. Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint. PLoS One, v. 10, n. 6, . (14/16250-9, 11/14058-5, 13/20387-7, 07/52015-0, 12/18768-0)
NAKAMURA, RODRIGO Y. M.; GARCIA FONSECA, LEILA MARIA; DOS SANTOS, JEFERSSON ALEX; TORRES, RICARDO DA S.; YANG, XIN-SHE; PAPA, JOAO PAPA. Nature-Inspired Framework for Hyperspectral Band Selection. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 52, n. 4, p. 2126-2137, . (09/16206-1, 08/58112-0, 11/14058-5, 12/18768-0, 09/18438-7)
DOS SANTOS, JEFERSSON A.; PENATTI, OTAVIO A. B.; GOSSELIN, PHILIPPE-HENRI; FALCAO, ALEXANDRE X.; PHILIPP-FOLIGUET, SYLVIE; TORRES, RICARDO DA S.. Efficient and Effective Hierarchical Feature Propagation. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 7, n. 12, p. 12-pg., . (12/18768-0, 13/50169-1, 13/50155-0, 09/10554-8)
DOS SANTOS, JEFERSSON A.; PENATTI, OTAVIO A. B.; TORRES, RICARDO DA S.; GOSSELIN, PHILIPPE-H.; PHILIPP-FOLIGUET, SYLVIE; FALCAO, ALEXANDRE X.; IEEE. REMOTE SENSING IMAGE REPRESENTATION BASED ON HIERARCHICAL HISTOGRAM PROPAGATION. 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), v. N/A, p. 4-pg., . (12/18768-0, 10/52113-5)
TORRES, RICARDO DA S.; HASEGAWA, MAKOTO; TABBONE, SALVATORE; ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; IEEE. SHAPE-BASED TIME SERIES ANALYSIS FOR REMOTE PHENOLOGY STUDIES. 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), v. N/A, p. 4-pg., . (12/18768-0, 10/52113-5, 11/11171-5)