DocumentCode
2288136
Title
Remote sensing data fusion by co-location of footprints from different sensors
Author
Shokr, Mohammed
Author_Institution
Atmos. Environ. Service, Toronto, Ont., Canada
Volume
6
fYear
2000
fDate
2000
Firstpage
2432
Abstract
A new tool for remote sensing data fusion has been developed. The footprint which corresponds to a single pixel from a coarse-resolution sensor is defined using the geographic information in the data as well as the radiometric characteristics of the sensor. It is then overlaid on a background image acquired from a fine-resolution sensor. The single radiometric parameter (or any derived physical parameter) associated with the pixel in the coarse-resolution data can then be linked to the statistics of the radiometric observations from all co-located pixels of the fine-resolution image (i.e. pixels within the footprint of the coarse-resolution pixel). Examples from sea ice applications are presented using coincident data from SSM/I, AVHRR, and RADARSAT. Contours of footprints from a coarse-resolution sensor can be presented in color to designate either the observed radiation (e.g. brightness temperature from an SSM/I channel) or a derived parameter such as ice thickness or surface temperature. The technique is particularly useful in linking observations from coarse-resolution sensors to the sub-pixel surface information available from the fine-resolution sensor
Keywords
geophysical signal processing; oceanographic techniques; radar imaging; remote sensing; remote sensing by radar; sea ice; sensor fusion; AVHRR; RADARSAT; SSM/I; background image; brightness temperature; co-located pixels; co-location; coarse-resolution data; coarse-resolution sensor; fine-resolution image; fine-resolution sensor; footprints; geographic information; ice thickness; radiometric characteristics; radiometric parameter; remote sensing data fusion; sea ice applications; sub-pixel surface information; surface temperature; Image sensors; Ocean temperature; Pixel; Radiometry; Remote sensing; Sea ice; Sea surface; Sensor phenomena and characterization; Statistics; Temperature sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-6359-0
Type
conf
DOI
10.1109/IGARSS.2000.859599
Filename
859599
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