DocumentCode
297933
Title
Cloud masking with satellite infrared images over polar oceans
Author
Schlueter, Norbert ; Markus, Thorsten
Author_Institution
Inst. of Environ. Phys., Bremen Univ., Germany
Volume
2
fYear
1996
fDate
27-31 May 1996
Firstpage
1247
Abstract
The classification of infrared images over polar regions is a difficult task. The algorithm presented uses the texture features of segments. The classification is done by a neural network. The results are promising. About 90% of the pixels are correctly identified
Keywords
atmospheric techniques; clouds; feature extraction; geophysical signal processing; image segmentation; image texture; infrared imaging; remote sensing; IR imaging; algorithm; cloud; cloud masking; feature extraction; image classification; image processing; image segmentation; image texture feature; infrared image; marine atmosphere; meteorology; optical imaging; polar ocean; remote sensing; satellite infrared image; segment; Clouds; Image segmentation; Infrared heating; Infrared imaging; Neural networks; Ocean temperature; Pollution measurement; Satellites; Sea ice; Sea measurements;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location
Lincoln, NE
Print_ISBN
0-7803-3068-4
Type
conf
DOI
10.1109/IGARSS.1996.516627
Filename
516627
Link To Document