An approach to the interpretation of aerial image

Author

Li, Ling-Ling ; Jin, Tai-song ; Shi, Hua ; Li, Cui-hua

Author_Institution

Dept. of Comput. Sci. & Applic., Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China

Volume

2

fYear

2010

fDate

11-14 July 2010

Firstpage

681

Lastpage

685

Abstract

This paper presents an aerial image parsing approach. Firstly, scene categories of aerial image is extracted based on global feature-Spatial Envelope in the top-down step; secondly, the candidate proposals of object categories is classified in bottom-up step; finally, the bottom-up proposals are verified by top-down cues, and the parsing graph of the whole aerial image is obtained. The test on the aerial image dataset shows that the proposed approach can effectively segment the object categories from the aerial image in complex scene compared with the Bottom-Up detectors.

Keywords

feature extraction; image classification; image segmentation; object detection; aerial image dataset; aerial image interpretation; aerial image parsing approach; bottom-up detectors; bottom-up step classification; global feature-spatial envelope extraction; object category segmentation; scene category; Airports; Bridges; Classification algorithms; Detectors; Feature extraction; Proposals; Training; Aerial image; Bottom-up; Image parsing; Spatial Envelope; Texton; Top-down;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2010 International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-6526-2

Type

conf

DOI

10.1109/ICMLC.2010.5580559

Filename

5580559