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AUTOMATIC DETECTION AND REMOVAL OF SHADOWS OF ITS EFFECTS ON SPATIAL HIGH RESOLUTION DIGITAL IMAGES

Grant number: 13/25257-4
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): March 01, 2014
Effective date (End): July 31, 2018
Field of knowledge:Physical Sciences and Mathematics - Geosciences
Principal Investigator:Erivaldo Antonio da Silva
Grantee:Samara Calçado de Azevedo
Home Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil
Associated scholarship(s):15/26743-5 - Automatic shadow detection and effects removal in high spatial resolution digital images, BE.EP.DR

Abstract

Shadows are present in most regions of the images . Currently , with the increase in spatial resolution sensor systems incorporated into their occurrence has been frequent and considered as a major obstacle in many applications . In addition to causing change in the spectral response of the targets , they degrade the visual quality of the images and omit important information in information extraction , making the accurate mapping of the earth's surface. Thus , this project aims to develop a methodology to remove the effects of the shadows of the images . For such, these regions will be identified based on spectral features that provide models of color combined with the morphological process of images , and then reconstructed by means of the key techniques of radiometric compensation. Still , the simulation of a ground truth to verify compensation of these areas will be proposed , since no literature as a way to evaluate these results and therefore no consensus on the most appropriate method. The interest is to recover the obscured and texture information, with the advantage of not being limited to external factors , such as the use of information of three-dimensional models . The automation of the method still allows it to be employed as a preprocessing step for other applications within the digital image processing and computer vision .

Scientific publications (5)
(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)
AZEVEDO, SAMARA; SILVA, ERIVALDO; COLNAGO, MARILAINE; NEGRI, ROGERIO; CASACA, WALLACE. Shadow detection using object area-based and morphological filtering for very high-resolution satellite imagery of urban areas. JOURNAL OF APPLIED REMOTE SENSING, v. 13, n. 3 AUG 9 2019. Web of Science Citations: 0.
AZEVEDO, SAMARA; DE OLIVEIRA, RENAN FURLAN; CASACA, WALLACE; SILVA, ERIVALDO. DESHADOWING OF HIGH SPATIAL RESOLUTION IMAGERY APPLIED TO URBAN AREA DETECTION. Bol. Ciênc. Geod., v. 25, n. SI 2019. Web of Science Citations: 0.
SAMARA AZEVEDO; RENAN FURLAN DE OLIVEIRA; WALLACE CASACA; ERIVALDO SILVA. DESHADOWING OF HIGH SPATIAL RESOLUTION IMAGERY APPLIED TO URBAN AREA DETECTION. Bol. Ciênc. Geod., v. 25, n. spe, p. -, 2019.
DE AZEVEDO, SAMARA CALCADO; CARDIM, GUILHERME PINA; PUGA, FERNANDA; SINGH, RAMESH P.; DA SILVA, ERIVALDO ANTONIO. Analysis of the 2012-2016 drought in the northeast Brazil and its impacts on the Sobradinho water reservoir. REMOTE SENSING LETTERS, v. 9, n. 5, p. 439-447, 2018. Web of Science Citations: 0.
PEDROSA, MIRIAM MARIA; DE AZEVEDO, SAMARA CALCADO; DA SILVA, ERIVALDO ANTONIO; DIAS, MAURICIO ARAUJO. Improved automatic impact crater detection on Mars based on morphological image processing and template matching. GEOMATICS NATURAL HAZARDS & RISK, v. 8, n. 2, p. 1306-1319, 2017. Web of Science Citations: 1.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.