Segmentation and interpretation of NOAA-AVHRR multi-temporal NDVI based data sets in temperate regions

Author

Genovese, G. ; Millot, M. ; Schoenmakers, R.P.H.M.

Author_Institution

Joint Res. Centre, Comm. of the Eur. Communities, Ispra, Italy

Volume

4

fYear

1994

fDate

8-12 Aug 1994

Firstpage

2525

Abstract

A set of 17 NOAA-AVHRR images of the Andalusian region was selected and appropriately pre-processed. Clouds were removed and the NDVI was computed. A composite image representing the 17 images was created. The 17 channel new NDVI image was spectrally filtered and segmented using a lately developed segmentation algorithm. The segmented image was then classified. Evaluation of the results is done with the aid of the CORINE land cover for some classes

Keywords

geophysical signal processing; geophysical techniques; image classification; image segmentation; optical information processing; AVHRR; Andalusia; CORINE land cover; NOAA-A; Spain; algorithm; geophysical measurement technique; image classification; image segmentation; image sequences; land surface; multi-temporal NDVI; optical image processing; remote sensing; temperate region; vegetation mapping; visible infrared; Agriculture; Calibration; Cloud computing; Europe; Image segmentation; Remote sensing; Satellites; Software packages; Testing; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International

Conference_Location

Pasadena, CA

Print_ISBN

0-7803-1497-2

Type

conf

DOI

10.1109/IGARSS.1994.399787

Filename

399787