Predicting the Detectability of Thin Gaseous Plumes in Hyperspectral Images Using Basis Vectors

Author： Anderson Kevin K.   Tardiff Mark F.   Chilton Lawrence K.  

Publisher： MDPI

E-ISSN： 1424-8220|10|9|8652-8662

ISSN： 1424-8220

Source： Sensors, Vol.10, Iss.9, 2010-09, pp. : 8652-8662

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Detection of Gaseous Plumes using Basis Vectors

By Chilton Lawrence   Walsh Stephen  

Sensors, Vol. 9, Iss. 05, 2009-04 ,pp. : 3205-3217

MDPI

Access to resources Recommend Favorite

Characterizing Clutter in the Context of Detecting Weak Gaseous Plumes in Hyperspectral Imagery

By Burr Tom   Foy Bernard R.   Fry Herb   McVey Brian  

Sensors, Vol. 6, Iss. 11, 2006-11 ,pp. : 1587-1615

MDPI

Access to resources Recommend Favorite

Overview of Physical Models and Statistical Approaches for Weak Gaseous Plume Detection using Passive Infrared Hyperspectral Imagery

By Burr Tom   Hengartner Nicolas  

Sensors, Vol. 6, Iss. 12, 2006-12 ,pp. : 1721-1750

MDPI

Access to resources Recommend Favorite

Biodiversity Assessment Using Hierarchical Agglomerative Clustering and Spectral Unmixing over Hyperspectral Images

By Medina Ollantay   Manian Vidya   Chinea J. Danilo  

Sensors, Vol. 13, Iss. 10, 2013-10 ,pp. : 13949-13959

MDPI

Access to resources Recommend Favorite

Multi-Channel Morphological Profiles for Classification of Hyperspectral Images Using Support Vector Machines

By Plaza Javier   Plaza Antonio J.   Barra Cristina  

Sensors, Vol. 9, Iss. 1, 2009-01 ,pp. : 196-218

MDPI

Access to resources Recommend Favorite