Thematic classification with multitemporal thermal imagery

Author

Franck, Ramon ; Spitzer, Hartwig

Author_Institution

II Inst. fur Experimentalphys., Hamburg Univ., Germany

Volume

5

fYear

2001

fDate

2001

Firstpage

2124

Abstract

This work deals with thematic classification based on thermal data. We combine the theory of heat conduction of the Earth´s surface with the mathematical concepts of thematic classification. We introduce the ´Multitemporal Temperature Feature Space´ (MTFS), which is spanned by a set of temperature values measured at different times a day. The experimental evaluation is based on a measurement campaign that took place in the city of Nuremberg on 27 August, 1997. Airborne multispectral imagery was acquired with a DAEDALUS sensor at three different times: 4:30, 8:30 and 11:30 a.m. (MET). Classification results show a general applicability of techniques based on thermal data. For the classification of roofs and vegetation areas the MTFS is better suited than the reflectance space

Keywords

geophysical signal processing; geophysical techniques; image classification; image sequences; terrain mapping; vegetation mapping; AD 1997 08 27; DAEDALUS; Germany; MTFS; Multitemporal Temperature Feature Space; Nuremberg; building; city; geophysical measurement technique; geothermal method; heat conduction; image sequence; land surface; multispectral imagery; multitemporal thermal imagery; remote sensing; roof; temperature; terrain mapping; terrestrial heat; thematic classification; theory; thermal infrared; town; urban area; vegetation mapping; Bismuth; Character generation; Covariance matrix; Electronic mail; Meteorology; Postal services; Reflectivity; Temperature distribution; Temperature measurement; Temperature sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.977924

Filename

977924