Processing Practice of Remote Sensing Image Based on Spatial Modeler

Author

Ma Jing ; Bi Qiang ; Wu Tie-ying ; Cheng Chun-quan ; Zhu Lian-jun ; Zhou Hong-mei

Author_Institution

Fac. of Prospecting & Survey Eng., Changchun Inst. of Technol., Changchun, China

fYear

2012

fDate

1-3 June 2012

Firstpage

1

Lastpage

5

Abstract

The aim of remote sensing image processing is to extract important geographic information toward a better understanding of the objective world. ERDAS IMAGINE is a system for processing of remote sensing images, which provides abundant and functional image processing tools, especially the tools for spatial modeler. In this paper, using the spatial modeler, we have developed several graphic models for remote sensing image enhancement based on the fundamental principles of image processing. The results showed that the developed models are easy to use and make the image processing faster. Additionally, the simulated running of the models confirmed the feasibility of those graphic models for remote sensing image processing.

Keywords

feature extraction; geophysical image processing; image enhancement; remote sensing; ERDAS IMAGINE; geographic information extraction; graphic models; remote sensing image enhancement; remote sensing image processing; spatial modeler; Algorithm design and analysis; Digital images; Graphics; Image edge detection; Object oriented modeling; Remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0872-4

Type

conf

DOI

10.1109/RSETE.2012.6260666

Filename

6260666