A NewWay for the Detection and Recognition of Bridges

Author

Zhu, Mengyu

Author_Institution

Dept. of Electron. Eng., Beijing Inst. of Technol.

Volume

2

fYear

2006

fDate

16-20 2006

Abstract

In this paper, a two-step scheme based on the maximum variance cluster algorithm was presented to detect and recognize bridges over water with the complicated background from the remote sensing images. First, the water including bridges was detected in all region of image; then, image segmentation and feature extraction and recognition were performed over the water having been detected. According to the above thought, this paper presented one miniaturized system that is realized by hardware, which is based on the DSP and possess low power loss. And the remote sensing images about bridge are done some experiment, the result of experiment indicated this method for detecting and recognizing the bridge over waters is feasible and effective

Keywords

bridges (structures); feature extraction; geophysical signal processing; image recognition; image segmentation; object detection; remote sensing; bridges detection; bridges recognition; feature extraction; image segmentation; maximum variance cluster algorithm; remote sensing images; Bridges; Clustering algorithms; Hardware; Image recognition; Image segmentation; Layout; Pixel; Remote sensing; Target recognition; Water;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2006 8th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9736-3

Electronic_ISBN

0-7803-9736-3

Type

conf

DOI

10.1109/ICOSP.2006.345676

Filename

4128968