Fuzzy System for Detection of Manmade Areas in Satellite Images

International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN. International E-Bulletin: Information/News regarding: Academics and Research

Fuzzy System for Detection of Manmade Areas in Satellite Images

Roozbahani KatayoonMohseni

Author Affiliations

¹ Department of Communication, Faculty of Technical and Engineering, Islamic Azad University, Shahr-E-Rey Branch, IRAN

Res. J. Recent Sci., Volume 3, Issue (2), Pages 109-113, February,2 (2014)

Abstract

In this paper a new fuzzy system proposed to detect manmade areas in satellite images. By using edge and local entropy data extracted from raw image as inputs of the fuzzy system, it is shown that the proposed method provides fast, general and useful strategy for detecting manmade areas.

References

Gonzalez R.C., Woods R.E. and Eddins S.L., Digital image processing using MATLAB, Gatesmark Publishing Tennessee (2009)
Nixon M. and Aguado A.S., Feature extraction and image processing for computer vision, Academic Press (2012)
Gruen A., Kübler O. and Agouris P., Automatic Extraction of Man-Made Objects from Aerial Space Images, Springer, (1995)
Mayer H., Automatic object extraction from aerial imagery—a survey focusing on buildings, Computer vision and image understanding, 74, 138–149 (1999)
Mena J.B., State of the art on automatic road extraction for GIS update: a novel classification, Pattern Recognition Letters, 24, 3037–3058 (2003)
Li J., Najmi A., Gray R.M., Image classification by a two-dimensional hidden Markov model, Signal Processing, IEEE Transactions on 48, 517–533 (2000)
Solka J.L., Marchette D.J., Wallet B.C., Irwin V.L. and Rogers G.W., Identification of man-made regions in unmanned aerial vehicle imagery and videos, Pattern Analysis and Machine Intelligence, IEEE Transactions on 20, 852–857 (1998)
Carlotto M.J., Detecting man-made features in SAR imagery, in: Geoscience and Remote Sensing Symposium, 1996, IGARSS’96,’Remote Sensing for a Sustainable Future’, International, 34–36 (1996)
Cooper B.E., Chenoweth D.L. and Selvage J.E., Fractal error for detecting man-made features in aerial images, Electronics Letters, 30, 554–555 (1994)
Cao G., Yang X. and Mao Z., A two-stage level set evolution scheme for man-made objects detection in aerial images in: Computer Vision and Pattern Recognition, CVPR 2005, IEEE Computer Society Conference, 474–479 (2005)
Karantzalos K. and Argialas D., A region-based level set segmentation for automatic detection of man-made objects from aerial and satellite images, Photogrammetric Engineering & Remote Sensing, 75, 667–677 (2009)
Sirmacek B. and Unsalan C., A probabilistic framework to detect buildings in aerial and satellite images, Geoscience and Remote Sensing, IEEE Transactions,49, 211–221
Canny J., A computational approach to edge detection, Pattern Analysis and Machine Intelligence, IEEE Transactions 679–698 (1986)
Jansing E.D., Albert T.A. and Chenoweth D.L., Two-dimensional entropic segmentation, Pattern Recognition Letters, 20, 329–336 (1999)
Ross T.J., Fuzzy logic with engineering applications, Wiley (2009)
Zadeh L.A., Fuzzy sets, Information and control, , 338–353 (1965)
Mamdani E.H., Application of fuzzy logic to approximate reasoning using linguistic synthesis, Computers, IEEE Transactions,100, 1182–1191 (1977)

[ref1] Gonzalez R.C., Woods R.E. and Eddins S.L., Digital image processing using MATLAB, Gatesmark Publishing Tennessee (2009)

[ref2] Nixon M. and Aguado A.S., Feature extraction and image processing for computer vision, Academic Press (2012)

[ref3] Gruen A., Kübler O. and Agouris P., Automatic Extraction of Man-Made Objects from Aerial Space Images, Springer, (1995)

[ref4] Mayer H., Automatic object extraction from aerial imagery—a survey focusing on buildings, Computer vision and image understanding, 74, 138–149 (1999)

[ref5] Mena J.B., State of the art on automatic road extraction for GIS update: a novel classification, Pattern Recognition Letters, 24, 3037–3058 (2003)

[ref6] Li J., Najmi A., Gray R.M., Image classification by a two-dimensional hidden Markov model, Signal Processing, IEEE Transactions on 48, 517–533 (2000)

[ref7] Solka J.L., Marchette D.J., Wallet B.C., Irwin V.L. and Rogers G.W., Identification of man-made regions in unmanned aerial vehicle imagery and videos, Pattern Analysis and Machine Intelligence, IEEE Transactions on 20, 852–857 (1998)

[ref8] Carlotto M.J., Detecting man-made features in SAR imagery, in: Geoscience and Remote Sensing Symposium, 1996, IGARSS’96,’Remote Sensing for a Sustainable Future’, International, 34–36 (1996)

[ref9] Cooper B.E., Chenoweth D.L. and Selvage J.E., Fractal error for detecting man-made features in aerial images, Electronics Letters, 30, 554–555 (1994)

[ref10] Cao G., Yang X. and Mao Z., A two-stage level set evolution scheme for man-made objects detection in aerial images in: Computer Vision and Pattern Recognition, CVPR 2005, IEEE Computer Society Conference, 474–479 (2005)

[ref11] Karantzalos K. and Argialas D., A region-based level set segmentation for automatic detection of man-made objects from aerial and satellite images, Photogrammetric Engineering & Remote Sensing, 75, 667–677 (2009)

[ref12] Sirmacek B. and Unsalan C., A probabilistic framework to detect buildings in aerial and satellite images, Geoscience and Remote Sensing, IEEE Transactions,49, 211–221

[ref13] Canny J., A computational approach to edge detection, Pattern Analysis and Machine Intelligence, IEEE Transactions 679–698 (1986)

[ref14] Jansing E.D., Albert T.A. and Chenoweth D.L., Two-dimensional entropic segmentation, Pattern Recognition Letters, 20, 329–336 (1999)

[ref15] Ross T.J., Fuzzy logic with engineering applications, Wiley (2009)

[ref16] Zadeh L.A., Fuzzy sets, Information and control, , 338–353 (1965)

[ref17] Mamdani E.H., Application of fuzzy logic to approximate reasoning using linguistic synthesis, Computers, IEEE Transactions,100, 1182–1191 (1977)