Abstract
The automatically detection of the aircraft goals in the remote sensing images, which has vital significance in the modern high-tech warfare, because of the sky-high nonlinearity of the visual process itself, using nonlinear signal processing technology, which becomes an important trend on the field of images naturally. Mathematical morphology is a rather unique nonlinear theory, the paper study the key technical problems specifically, which solve the detecting of objects by using the theory. The paper analyses the modality characteristics of aircraft by using gray morphological theoretic, constructs the automatic identification model of aircraft object, by the establishment of shape templates of the aircraft automatic detecting using MATLAB, by dilation, erosion and other operations, at last, we can realize that the rapid separation between the aircraft and the complex background, and then to achieve the automatic detection of the aircraft. Through the analysis of the realization, we find that the method based on gray morphology has a good filtering and moderate adaptive capacity to the complex and variation image environment. Identify the aircraft targets from the background quickly, which have a certain value.
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Yang, G. et al. (2009). Study on Automatic Detection of Airplane Object in Remote Sensing Images. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_9
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DOI: https://doi.org/10.1007/978-3-642-03664-4_9
Publisher Name: Springer, Berlin, Heidelberg
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