An Object-Oriented Shadow Detection Approach of Remote Sensing Image

Xiao Le Shen; Zhen Feng Shao; Hui Luo; Wei Cheng

doi:10.4028/www.scientific.net/KEM.474-476.1038

Paper Titles

Analysis of Smart Antenna Interference Suppression Base on LMS Improved Algorithm
p.1019

Heat Buffering Property of Phase Change Materials in Textiles
p.1024

A Nano-Structure Memristor and Key Manufacture Technologies
p.1029

Study on the Application of Weak Signal Recovery System Based on the Stochastic Resonance
p.1033

An Object-Oriented Shadow Detection Approach of Remote Sensing Image
p.1038

Preparation and Electromagnetic Property of Hexagonal W-Type Ferrite Obtained by the Sol-Gel Method
p.1044

Performance of the Piecewise Rate Modulation Strategy to Convey Mandarin Tonal Information for Cochlear Implant Using Neural Network Simulation
p.1049

Isolation and Screening of Endophytic Antagonistic Bacteria to Camellia Soft Rot Disease and 16s rDNA Sequence Analysis
p.1053

Advanced Processing of Biologically-Treated Leachate by PAC
p.1057

HomeKey Engineering MaterialsKey Engineering Materials Vols. 474-476An Object-Oriented Shadow Detection Approach of...

An Object-Oriented Shadow Detection Approach of Remote Sensing Image

Abstract:

Shadows widely exist in high-resolution remote sensing images and affect image interpretation in certain degree. Improving the accuracy and efficiency of shadow region detection is always a significant problem in remote sensing image processing field. In this paper, an object-oriented shadow detection approach of remote sensing image is proposed on the basis of analyzing the characteristics of the shadow object. Experimental results indicate the efficiency and validity of our object-oriented approach for shadow detection compared with conventional pixel-level methods.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Pages:

1038-1043

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.474-476.1038

Citation:

Cite this paper

Online since:

April 2011

Authors:

Xiao Le Shen, Zhen Feng Shao, Hui Luo, Wei Cheng

Keywords:

Multi-Scale Segmentation, Object-Oriented (OO), Shadow Detection

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] WANG Shugen, WANG Junli and GUO Liyan: Shadow Detection of Color Aerial Images Based on K-L Transformation. Journal of Geomatics. Vol. 29, No. 2 (2004), p.21.

Google Scholar

[2] GUO Jianhong, TIAN Qingjiu and WU Yunzhao: Study on Multispectral Detecting Shadow Areas and A Theoretical Model of Removing Shadows from Remote Sensing Images. Journal of Remote Sensing. Vol. 10, No. 2 (2006), p.151.

Google Scholar

[3] Victor J. D. Tsai: A Comparative Study on Shadow Compensation of Color Aerial Images in Invariant Color Models. IEEE Transactions on Geoscience and Remote Sensing. Vol. 44, No. 6 (2006), p.1661.

DOI: 10.1109/tgrs.2006.869980

Google Scholar

[4] K. L. Chung, Y. R. Lin and Y. H. Huang: Efficient Shadow Detection of Color Aerial Images Based on Successive Thresholding Scheme. IEEE Transactions on Geoscience and Remote Sensing. Vol. 47, No. 2 (2009), p.671.

DOI: 10.1109/tgrs.2008.2004629

Google Scholar

[5] M. Baatz, A. Schape: Multiresolution Segmentation: An Optimization Approach for High Quality Multi-scale Image Segmentation. Journal of Photogrammetry and Remote Sensing. Vol. 58 (2000), p.12.

Google Scholar

[6] SUN Kaimin: Object-Oriented Change Detection of Terrain Objects. Wuhan University. (2008), p.45.

Google Scholar

[7] N. OTSU: A Threshold Selection Method from Gray-level Histograms. IEEE Transactions on System, Man, and Cybernetics. Vol. 9, No. 1 (1979), p.62.

DOI: 10.1109/tsmc.1979.4310076

Google Scholar

[8] T. M. Lillesand and R. W. Kiefer, in: Remote Sensing and Image Interpretation, 4th ed. New York: Wiley, (2000).

Google Scholar