Building extraction based on multiscale segmentation

Author

Limin Zhang ; Tao Xu ; Jianting Zhang

Author_Institution

Dept. of Electron. & Inf. Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China

fYear

2012

fDate

16-18 Oct. 2012

Firstpage

657

Lastpage

661

Abstract

Building extraction algorithm based on multiscale segmentation using high resolution remote sensing images and LiDAR data is presented. Image objects are obtained by multiscale image segmentation. Following that, extraction is fulfilled using DSM and spectrum features of building objects. Optimized scale is selected with unsupervised method, and segmentation is optimized with multiscale method. The algorithm has a simple structure and low computation complexity. Results of experiment prove it is efficient.

Keywords

buildings (structures); computational complexity; feature extraction; geophysical image processing; image segmentation; optical radar; remote sensing; DSM; LiDAR data; building extraction algorithm; building object spectrum feature extraction; computational complexity; high resolution remote sensing images; image objects; multiscale image segmentation; unsupervised method; Buildings; Feature extraction; Image analysis; Image resolution; Image segmentation; Laser radar; Remote sensing; High resolution remote sensing image; Multiscale segmentation; building extraction; object-based image analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2012 5th International Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4673-0965-3

Type

conf

DOI

10.1109/CISP.2012.6470035

Filename

6470035