Estimation of the "natural" number of classes of a multispectral image

• Type: Article in International Conference Proceedings Book
• Date: 2005

Authors

marcal, ars (Author) FCUP; borges, js (Author) Other

Conference proceedings International

Title: IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings

Pages: 3788-3791

25th IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2005)

Seoul, SOUTH KOREA, JUL 25-29, 2005

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 6 Citations

Scientific classification

FOS: Natural sciences > Earth and related Environmental sciences

Other information

Authenticus ID: P-000-5WW

DOI: 10.1109/igarss.2005.1525733

Abstract (EN): The availability of in effective internal similarity index to determine the "natural" number of classes in a multi spectral satellite image would benefit the process of unsupervised image classification. Two similarity indices (DB and Xu) were tested in sections of multi-spectral satellite images from Landsat TM, SPOT HRVIR, ASTER and IKONOS. The images were initially clustered into a manageable number of classes using, an unsupervised classification algorithm. These results were then structured hierarchically, and the internal similarity indices computed for each level. The inspection of the DB and Xu index plots were used to select the "natural" number of classes for each test image.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4