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Research on an Extracting Method to Assist Manual Identification of Targets

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Advances in Image and Graphics Technologies (IGTA 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 437))

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Abstract

The interpretation of the target recognition in remote sensing image is normally manually implemented by interpreters. In this essay, we propose to analyze the method for rapid extraction of suspected targets (method that can be used to assist manual interpretation) was proposed. The method is based on the image gray-scale characteristics. First of all, resolution reduction and enhancement should be used to preprocess the image. Then, through a series of means, including binarization, erosion, big target extraction and dilation, suspected targets are extracted. The experimental results show that the method can effectively and quickly extract targets from the remote sensing image which owns the features that the gray value of background area is mussy and the object area is homogeneous.

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References

  1. Yang, Y., Zhao, R., Wang, W.: Automatic Building Detection in Aerial Image. Computer Engineering 28(8), 20–21, 27 (2002)

    Google Scholar 

  2. Qin, Q., Yuan, Y., Lu, R.: The Recognition of Various Types of Water Bodies on Satellite Image. Geo Graphical Research 20(1), 62–67 (2001)

    Google Scholar 

  3. Gong, S., Liu, C., Wang, Q.: Digital Image Processing and Analysis, pp. 48-51, 177-184, 199-200. Tsinghua University Press (2006)

    Google Scholar 

  4. Gonzalez, R.C., Woods, R.E.: Digital Image Processing (the Third Edition), pp. 68–77, 402-406. Electronic Industry Press (2011)

    Google Scholar 

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© 2014 Springer-Verlag Berlin Heidelberg

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Shi, Y., Zhang, G. (2014). Research on an Extracting Method to Assist Manual Identification of Targets. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Huang, K. (eds) Advances in Image and Graphics Technologies. IGTA 2014. Communications in Computer and Information Science, vol 437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45498-5_13

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  • DOI: https://doi.org/10.1007/978-3-662-45498-5_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45497-8

  • Online ISBN: 978-3-662-45498-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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