Paper Info
Title
Study on Automatic Detection of Airplane Object in Remote Sensing Images.
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.
Year
DOI
Venue
2009
10.1007/978-3-642-03664-4_9
FUZZY INFORMATION AND ENGINEERING, VOLUME 2
Keywords
Field
DocType
Morphology of mathematics,remote sensed image,detection of airplane object,erosion,dilation
Computer vision,Dilation (morphology),Nonlinear theory,Nonlinear system,MATLAB,Computer science,Mathematical morphology,Remote sensing,Filter (signal processing),Airplane,Nonlinear signal processing,Artificial intelligence
Conference
Volume
ISSN
Citations 
62
1867-5662
1
PageRank 
References 
Authors
0.42
4
7
Name
Order
Citations
PageRank
Guang Yang111.10
Bai Zhang2208.49
Xiao-Juan Wang3228.34
Chun-Ying Ren4398.51
Kexiong Chen591.68
Zongming Wang67219.71
Yong Zhang710.42