Title :
Relative radiometric correction on remotely sensed data for land cover change detection: an unsupervised clustering approach
Author :
Velloso, Maria Luiza F ; De Souza, Flávio J. ; Almeida, Nival N.
Author_Institution :
Dept. of Electron. Eng., Rio de Janeiro State Univ., Brazil
Abstract :
This paper proposes and automated radiometric normalization process that uses an unsupervised clustering to adjust a cluster-by-cluster mapping to minimize the effects of the influences of radiometric difference on image interpretation and classification.
Keywords :
geophysical signal processing; image classification; pattern clustering; radiometers; remote sensing by radar; terrain mapping; automated radiometric normalization; cluster-by-cluster mapping; fuzzy clustering; image classification; image interpretation; land cover change detection; radiometric difference; relative radiometric correction; remotely sensed data; unsupervised clustering; Calibration; Clustering algorithms; Data engineering; Geometry; Image generation; Image registration; Image sensors; Lighting; Pixel; Radiometry;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1293896
