Title :
Cloud masking with satellite infrared images over polar oceans
Author :
Schlueter, Norbert ; Markus, Thorsten
Author_Institution :
Inst. of Environ. Phys., Bremen Univ., Germany
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;
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
DOI :
10.1109/IGARSS.1996.516627
