Category extraction of NOAA AVHRR images by using 3 dimensional histograms

Author

Kawano, Koichi ; Kudoh, Jun-ichi ; Makino, Shozo

Author_Institution

Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan

Volume

2

fYear

1999

fDate

1999

Firstpage

1285

Abstract

The authors have developed a new image processing method for the analysis of multispectral remote sensing data. The 3 dimensional histogram technique is a method of displaying the brightness of the three different channels of NOAA AVHRR images. They assigned the X, Y and Z-axes of the 3 dimensional space to the brightness of three different channels respectively. This can visualize the same properties of images as a mass in the 3 dimensional space, so it is useful to classify the different categories such as the land, the sea, and the cloud. The 3 dimensional histogram has correspondence to the images and it is possible to rotate the 3 dimensional histogram interactively. So, this method assists a nonexpert to extract his interest categories in a short time

Keywords

atmospheric techniques; geophysical signal processing; geophysical techniques; image processing; multidimensional signal processing; oceanographic techniques; remote sensing; terrain mapping; AVHRR image; IR; NOAA; atmosphere; category extraction; cloud; geophysical measurement technique; image classification; image processing; infrared imaging; land surface; multispectral remote sensing; ocean; optical imaging; remote sensing; sea surface; terrain mapping; three dimensional histogram; visible; Aggregates; Brightness; Clouds; Histograms; Image analysis; Image recognition; Infrared imaging; Layout; Pixel; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.774606

Filename

774606