Abstract

A robust and efficient technique to segment shaded areas in aerial color images is presented here. This technique is based on the physical phenomenon of atmospheric dispersion of the sunlight most well known as the Rayleigh scattering effect. This technique does not depend on special algorithms to classify or to form clusters of objects appearing in complex aerial images. In fact, the mathematical model, derived from the physical model is very simple but it produces consistent results and can be applied to color images obtained by airborne and orbital sensors (e.g., Landsat TM and IKONOS).

Keywords:
Shadow (psychology) Artificial intelligence Computer vision Computer science Segmentation Image segmentation Remote sensing Simple (philosophy) Geography

Metrics

100
Cited By
5.80
FWCI (Field Weighted Citation Impact)
19
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology
Remote Sensing and Land Use
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering

Related Documents

JOURNAL ARTICLE

Hierarchical shadow detection for color aerial images

Jian YaoZhonefei Zhang

Journal:   Computer Vision and Image Understanding Year: 2005 Vol: 102 (1)Pages: 60-69
JOURNAL ARTICLE

Shadow detection of color urban aerial images

Shan LuWei HuangRui Huang

Year: 2010 Vol: smc 9 Pages: 1610-1613
JOURNAL ARTICLE

Shadow detection and compensation for color aerial images

Shugen WangGuo ZejinLI Deren

Journal:   Geo-spatial Information Science Year: 2003 Vol: 6 (3)Pages: 20-24
JOURNAL ARTICLE

Color-based shadow detection method in aerial images

Shahbe M-DesaSiti-Aisyah ZaliWan-Noorshahida Mohd-IsaZarina Che Embi

Journal:   Journal of Physics Conference Series Year: 2022 Vol: 2312 (1)Pages: 012081-012081
JOURNAL ARTICLE

AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES

Vander L. S. FreitasBarbara Maximino da Fonseca ReisAntônio Maria Garcia Tommaselli

Journal:   Boletim de Ciências Geodésicas Year: 2017 Vol: 23 (4)Pages: 578-590
© 2026 ScienceGate Book Chapters — All rights reserved.