AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES

Author:

Freitas Vander Luis de Souza1,Reis Barbara Maximino da Fonseca1,Tommaselli Antonio Maria Garcia2

Affiliation:

1. Instituto Nacional de Pesquisas Espaciais, Brazil

2. Universidade Estadual Paulista Júlio de Mesquita Filho, Brazil

Abstract

Abstract: Shadows exist in almost all aerial and outdoor images, and they can be useful for estimating Sun position estimation or measuring object size. On the other hand, they represent a problem in processes such as object detection/recognition, image matching, etc., because they may be confused with dark objects and change the image radiometric properties. We address this problem on aerial and outdoor color images in this work. We use a filter to find low intensities as a first step. For outdoor color images, we analyze spectrum ratio properties to refine the detection, and the results are assessed with a dataset containing ground truth. For the aerial case we validate the detections depending of the hue component of pixels. This stage takes into account that, in deep shadows, most pixels have blue or violet wavelengths because of an atmospheric scattering effect.

Publisher

FapUNIFESP (SciELO)

Subject

General Earth and Planetary Sciences

Reference14 articles.

1. Classificação de Sombra Em Imagens Orbitais E Aéreas Usando Uma Matriz de Co-Ocorrência Modificada;Centeno J. A. S.;Boletim de Ciências Geodésicas,2011

2. Shadow Analysis in High-Resolution Satellite Imagery of Urban Areas;Dare P. M;Photogrammetric Engineering and Remote Sensing,2005

3. Stochastic Method for De-Shadowing and Objects Retrieval from High Resolution Images;Devi G.;International Journal on Computer Science and Engineering,2011

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