Skip to main content
SpringerLink
Log in

An Intelligent System for Aerial Image Retrieval and Classification

  • Conference paper
Methods and Applications of Artificial Intelligence (SETN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3025))

Included in the following conference series:

Abstract

Content based image retrieval is an active research area of pattern recognition. A new method of extracting global texture energy descriptors is proposed and it is combined with features describing the color aspect of texture, suitable for image retrieval. The same features are also used for image classification, by its semantic content. An exemplar fuzzy system for aerial image retrieval and classification is proposed. The fuzzy system calculates the degree that a class, such as sea, clouds, desert, forests and plantations, participates in the input image. Target applications include remote sensing, computer vision, forestry, fishery, agricultures, oceanography and weather forecasting.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Manjunath, B.S., Ma, W.Y.: Texture Features for Browsing and Retrieval of Large Image Data. IEEE Trans. Pattern Anal. Mach. Intell. 18, 837–842 (1996)

    Article  Google Scholar 

  2. Gimelfarb, G.L., Jain, A.K.: On Retrieving Textured Images From an Image Database. Pattern Recognition 29, 1461–1483 (1996)

    Article  Google Scholar 

  3. Carkacloglu, A., Yarman-Vural, F.: SASI: a generic texture descriptor for image retrieval. Pattern Recognition 36, 2615–2633 (2003)

    Article  Google Scholar 

  4. Gevers, T., Smeulders, A.W.M.: Color-based Object Recognition. Pattern Recognition 32, 453–464 (1999)

    Article  Google Scholar 

  5. Konstandinidis, K., Andreadis, I.: On the Use of Color Histograms for Content Based Image Retrieval in Various Color Spaces. In: Int. Conf. of Computational Methods in Sciences and Engineering, Kastoria, Greece (2003)

    Google Scholar 

  6. Eftekhari-Moghadam, A.M., Shanbehzadeh, J., Mahmoudi, F., Soltanian-Zadeh, H.: Image Retrieval Based on Index Compressed Vector Quantization. Pattern Recognition 36, 2635–2647 (2003)

    Article  Google Scholar 

  7. Mechrotra, R., Gary, J.E.: Similar Shape Retrieval in Shape Data Management. IEEE Computer 28, 57–62 (1995)

    Google Scholar 

  8. Del Bimbo, A., Pala, P., Santini, S.: Image Retrieval by Elastic Matching of Shapes and Image Patterns. In: Proc. IEEE Int. Conf. Multimedia Systems and Computing, Hiroshima, Japan, pp. 215–218 (1996)

    Google Scholar 

  9. Oonincx, P.J., de Zeeuw, P.M.: Adaptive Lifting for Shape-based Image Retrieval. Pattern Recognition 36, 2663–2672 (2003)

    Article  MATH  Google Scholar 

  10. Zhang, D.S., Lu, G.: Content-based Image Retrieval Using Gabor Texture Features. In: Proc. First IEEE Pacific-Rim Conference on Multimedia, Sydney, Australia, pp. 392–395 (2000)

    Google Scholar 

  11. Kam, A.H., Ng, T.T., Kingsbury, N.G., Fitzgerald, W.J.: Content Based Image Retrieval Through Object Extraction and Querying. In: Proc. IEEE Workshop on Content-based Access of Image and Video Libraries, Hilton Head Island, S. Carolina, pp. 91–95 (2000)

    Google Scholar 

  12. Wang, J.Z., Li, J., Wiederhold, G.: SIMPLIcity: Semantics-sensitive integrated matching for picture libraries. IEEE Transactions on PAMI 23, 947–963 (2001)

    Google Scholar 

  13. Soille, P.: Morphological Texture Analysis: a survey. In: Workshop on Texture Analysis 1998, pp. 193–207. Albert-Ludwigs-Universitat Freiburg, Germany (1998)

    Google Scholar 

  14. Cross, G.R., Jain, A.K.: Markov Random Field Texture Models. IEEE Trans. Pattern Anal. Mach. Intell. 18, 25–39 (1983)

    Article  Google Scholar 

  15. Laws, K.: Textured Image Segmentation, Ph.D. Dissertation, University of South California (1980)

    Google Scholar 

  16. Laws, K.: Rapid Texture Identification. In: SPIE. Image Processing for Missile Guidance, vol. 238, pp. 376–380 (1980)

    Google Scholar 

  17. Scharcanski, J., Hovis, J.K., Shen, H.C.: Representing the Color Aspect of Texture Images. Pattern Recognition Letters 15, 191–197 (1994)

    Article  MATH  Google Scholar 

  18. Eakins, J.P.: Towards Intelligent Image Retrieval. Pattern Recognition 35, 3–14 (2002)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Laboratory of Robotics and Automation, Section of Production Systems, Department of Production and Management Engineering, Democritus University of Thrace, Building of University’s Library, Kimmeria, GR-671 00, Xanthi, Greece

    Antonios Gasteratos

  2. Department of Electrical and Computer Engineering, Democritus University of Thrace, Laboratory of Electronics, Section of Electronics and Information Systems Technology, Vassilisis Sophias 12, GR-671 00, Xanthi, Greece

    Panagiotis Zafeiridis & Ioannis Andreadis

Authors
  1. Antonios Gasteratos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Panagiotis Zafeiridis
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ioannis Andreadis
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Info and Communication Systems Eng, Aegean University, 83200, Karlovassi, Samos, Greece

    George A. Vouros

  2. Department of Informatics, University of Piraeus, Piraeus, Greece

    Themistoklis Panayiotopoulos

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gasteratos, A., Zafeiridis, P., Andreadis, I. (2004). An Intelligent System for Aerial Image Retrieval and Classification. In: Vouros, G.A., Panayiotopoulos, T. (eds) Methods and Applications of Artificial Intelligence. SETN 2004. Lecture Notes in Computer Science(), vol 3025. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24674-9_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-24674-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21937-8

  • Online ISBN: 978-3-540-24674-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation