Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.774606
