CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Shadow Detection and Removal from Remote Sensing Images using NDI and Morphological Operators

by Krishna Kant Singh, Kirat Pal, M. J. Nigam
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 10
Year of Publication: 2012
Authors: Krishna Kant Singh, Kirat Pal, M. J. Nigam
10.5120/5732-7805

Krishna Kant Singh, Kirat Pal, M. J. Nigam . Shadow Detection and Removal from Remote Sensing Images using NDI and Morphological Operators. International Journal of Computer Applications. 42, 10 ( March 2012), 37-40. DOI=10.5120/5732-7805

@article{ 10.5120/5732-7805,
author = { Krishna Kant Singh, Kirat Pal, M. J. Nigam },
title = { Shadow Detection and Removal from Remote Sensing Images using NDI and Morphological Operators },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 10 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 37-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number10/5732-7805/ },
doi = { 10.5120/5732-7805 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:31:01.058990+05:30
%A Krishna Kant Singh
%A Kirat Pal
%A M. J. Nigam
%T Shadow Detection and Removal from Remote Sensing Images using NDI and Morphological Operators
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 10
%P 37-40
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Shadows appear in remote sensing images due to elevated objects. Shadows cause hindrance to correct feature extraction of image features like buildings, towers etc. in urban areas it may also cause false color tone and shape distortion of objects, which degrades the quality of images. Hence, it is important to segment shadow regions and restore their information for image interpretation. This paper presents an efficient and simple approach for shadow detection and removal based on HSV color model in complex urban color remote sensing images for solving problems caused by shadows. In the proposed method shadows are detected using normalized difference index and subsequent thresholding based on Otsu's method. Once the shadows are detected they are classified and a non shadow area around each shadow termed as buffer area is estimated using morphological operators. The mean and variance of these buffer areas are used to compensate the shadow regions.

References
  1. Wang Junli ,Wang Shugen, 2002. A method of image shadow detection based RGB colour space. Information Technology, 26(12), pp. 7-9.
  2. Yan Li,Tadashi Sasagawa and Peng Gong,2004. A System of the Shadow Detection and Shadow Removal for High Resolution City Aerial Photo. ISPRS, COMMISSION ?, ISTANBUL.
  3. Barnes N. and Liu Z. Q,1999. Knowledge-based shape from shading. Int. J. of Pattern Recognition and Artificial Intelligence, 13(1), pp. 1-23.
  4. Ortega A. and Shah M, 1998. From shape from shading to object recognition. Int. J. of Pattern Recognition and Artificial Intelligence, 12(2), pp. 191-208.
  5. Yang Yijun, Zhao Rongchun and Jiang Wenbing, 2002. Detection of shadow areas from aerial imagery. Signal Processing,18(3),pp. 228-232.
  6. Wang, Ning ; Lang, Congyan ; Xu, De ,2011, Image-Based Shadow Removal via Illumination Chromaticity Estimation in Multimedia Information Networking and Security (MINES),pp. 33-36
  7. Y. Li, P. Gong, T. Sasagawa, Integrated shadow removal based on photogrammetry and image analysis. International Journal of Remote Sensing, vol. 26(18):pp. 3911-3929, 2005.
  8. N. Otsu, A threshold selection method from gray level histograms. IEEE Trans. Syst. , Man, Cybern, vol,9?1??pp. 62-69,1979
  9. J. Huang, W. Xie and L. Tang, Detection of and compensation for shadows in colored urban aerial images. Hangzhou, China: in Proc. 5th World Congr. Intelligent Control and Automation, pp. 3098-3100. 2004.
  10. V. J. D. Tsai, A comparative study on shadow compensation of color aerial images in invariant color models. IEEE Trans. On Geoscience and Remote Sensing, vol. 44(6): pp. 1661-1671, 2006.
  11. Y. Li, T. Sasagawa and O. Gong, A system of the shadow detection and shadow removal for high resolution city aerial photo. ISPRS,Commision ?, Istanbul, 2004.
  12. M. Nagao, T. Matsutyama and Y. Ikeda. Region extraction and shape analysis in aerial photographs, Computer Vision, Graphics and Image Process, vol. 10(3): pp. 195-223, 1979.
  13. Polodorio, A. M. , Flores, F. C. , Imai, N. N. , Tommaselli, A. M. G. , and Franco, C. "Automatic shadow segmentation in aerial color images", Proceedings of XVI Brazilian symposium on computer graphics and image processing, 270-277, 2003.
  14. Massalabi, A. , He, D. C. , Bénié, G. B. , and Beaudry, E. "Detecting information under and from shadow in panchromatic Ikonos images of the city of sherbrooke", IGARSS 2004, vol. 3, 2000-2003, 2004.
  15. Sarabandi, P. , Yamazaki, F. , Matsuoka, M. , and Kiremidjian, A. "Shadow detection and radiometric restoration in satellite high resolution images", IGARSS 2004, vol. 6, 3744- 3747, 2004.
  16. Suzuki, A. , Shio, A. , Arai, H. , and Ohtsuka, S. "Dynamic shadow compensation of aerial images based on color and spatial analysis", Proc. 15th International Conference on Pattern Recognition, 317-320, 2000.
  17. Su, J. , Lin, X. G. , Liu, D. Z. "An automatic shadow detection and compensation method for remote sensed color images", The 8th International Conference on Signal Processing, 2006.
  18. Thomas M. Lillesand and Ralph W. Kiefer, "Remote Sensing and Image Interpretation", Fourth Ed. , John Wiley & Sons, 2000.
  19. Su, J. , Lin, X. G. , Liu, D. Z. "An automatic shadow detection and compensation method for remote sensed color images", The 8th International Conference on Signal Processing, 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Shadow Compensation Shadow Detection Thresholding

Powered by PhDFocusTM