Semi-Supervised Based Hyperspectral Imagery Classification

Hyperspectral imagery classification is a challenging problem. Wherein, the high number of spectral channels and the high cost of true sample labeling greatly reduce the classification precision. In this paper, we proposed a semi-supervised method, which combine linear discriminant analysis and mani...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Asıl Yazarlar: Zhijun Zheng, Yanbin Peng
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: IFSA Publishing, S.L. 2013-09-01
Seri Bilgileri:Sensors & Transducers
Konular:
Hyperspectral imagery
Classification
Semi-supervised
Linear discriminant analysis
Manifold learning.
Online Erişim:http://www.sensorsportal.com/HTML/DIGEST/september_2013/P_1360.pdf
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller