DocumentCode
3055448
Title
Real-time progressive band processing of Modified Fully Abundance-Constrained Spectral Unmixing
Author
Guan-Sheng Huang ; Chao-Cheng Wu ; Keng-Hao Liu ; Chein-I Chang
Author_Institution
Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear
2013
fDate
21-26 July 2013
Firstpage
1454
Lastpage
1457
Abstract
Band selection (BS) has advantages over data dimensionality in satellite communication and data transmission. However, several issues regarding real time processing need to be addressed, (1) how many bands required for BS, (2) how to select appropriate bands, (3) how to take advantage of previously selected bands without re-implementing BS, and finally and most important, (4) how to tune bands to be selected in real time as number of bands varies. This paper presents a new approach, called progressive band processing (PBP) for Modified Fully Abundance-Constrained Spectral Unmixing (MFCLS) without actually implementing BS. When spectral unmixing is performed, BS must be done prior to data unmixing in which case real time implementation in data communication is infeasible. The proposed PBP-MFCLS allows users to incorporate new incoming bands into data unmixing currently being processed. Accordingly, PBP-MFCLS can be carried out band by band in a real time and progressive fashion with unmixed data updated recursively band by band in the same way that data is processed by a Kalman filter.
Keywords
Kalman filters; data communication; satellite communication; spectral analysis; Kalman filter; MFCLS; PBP; band selection; data communication; data dimensionality; data transmission; data unmixing; modified fully abundance constrained spectral unmixing; real time progressive band processing; recursive band updating; satellite communication; Data communication; Hyperspectral imaging; Real-time systems; Vectors; Modified fully constrained least squares (MFLCS); Progressive Band Processing; Spectral unmixing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723059
Filename
6723059
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