Destriping Satellite Images

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6294

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DC Field	Value	Language
dc.creator	Horn, B.K.P.	-
dc.creator	Woodham, R.J.	-
dc.date	2004-10-04T14:49:32Z	-
dc.date	2004-10-04T14:49:32Z	-
dc.date	1978-03-01	-
dc.date.accessioned	2013-10-09T02:44:46Z	-
dc.date.available	2013-10-09T02:44:46Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-467	-
dc.identifier	http://hdl.handle.net/1721.1/6294	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Before satellite images obtained with multiple image sensors can be used in image analysis, corrections must be introduced for the differences in transfer functions on these sensors. Methods are here presented for obtaining the required information directly from the statistics of the sensor outputs. The assumption is made that the probability distribution of the scene radiance seen by each image sensor is the same. Successful destriping of LANDSAT images is demonstrated.	-
dc.format	8411990 bytes	-
dc.format	6068766 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-467	-
dc.title	Destriping Satellite Images	-
Appears in Collections:	MIT Items

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