A process model for remote sensing data analysis

Author

Madhok, Varun ; Landgrebe, David A.

Author_Institution

Bus. Intelligence Solutions Practice, IBM Canada Ltd., Markham, Ont., Canada

Volume

40

Issue

3

fYear

2002

fDate

3/1/2002 12:00:00 AM

Firstpage

680

Lastpage

686

Abstract

Remote sensing data is collected and analyzed to enhance understanding of the terrestrial surface-in composition, in form, or in function. One approach for accomplishing this is to design the analysis process as an iterated composite of several analyst-directed modules. This paper proposes such a modular design for the data analysis. The proposed methodology was applied in a project to obtain the thematic map for a flightline over Washington, DC, with very satisfactory results-the qualification being in both the visual and the statistical sense. The project execution is presented as a case study in this paper

Keywords

data analysis; geophysical signal processing; image classification; remote sensing; topography (Earth); Washington DC; analysis process; analyst-directed modules; digital elevation map; flightline; holistic solution; hyperspectral data classification; iterated composite; process model; remote sensing data analysis; terrestrial surface; thematic map; Algorithm design and analysis; Data analysis; Humans; Hyperspectral imaging; Hyperspectral sensors; Image analysis; Image segmentation; Process design; Qualifications; Remote sensing;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/TGRS.2002.1000327

Filename

1000327