Progressive band processing of orthogonal subspace projection in hyperspectral imagery

Hsiao Chi Li; Yao Li; Cheng Gao; Meiping Song; Chein I. Chang

doi:10.1117/12.2179667

Progressive band processing of orthogonal subspace projection in hyperspectral imagery

Hsiao Chi Li, Yao Li, Cheng Gao, Meiping Song, Chein I. Chang

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Progressive band processing (PBP) processes data band by band according to the Band SeQuential (BSQ) format acquired by a hyperspectral imaging sensor. It can be implemented in real time in the sense that data processing can be performed whenever bands are available without waiting for data completely collected. This is particularly important for satellite communication when data download is limited by bandwidth and transmission. This paper presents a new concept of processing a well-known technique, Orthogonal Subspace Projection (OSP) band by band, to be called PBPOSP. Several benefits can be gained by PBP-OSP. One is band processing capability which allows different receiving ends to process data whenever bands are available. Second, it enables users to identify significant bands during data processing. Third, unlike band selection which requires knowing the number of bands needed to be selected or band prioritization PBP-OSP can process arbitrary bands in real time with no need of such prior knowledge. Most importantly, PBP can locate and identify which bands are significant for data processing in a progressive manner. Such progressive profile resulting from PBP-OSP is the best advantage that PBP-OSP can offer and cannot be accomplished by any other OSP-like operators.

Original language	English
Title of host publication	Satellite Data Compression, Communications, and Processing XI
Editors	Yunsong Li, Chein-I Chang, Bormin Huang, Qian Du, Chulhee Lee
Publisher	SPIE
ISBN (Electronic)	9781628416176
DOIs	https://doi.org/10.1117/12.2179667
Publication status	Published - 2015
Event	Satellite Data Compression, Communications, and Processing XI - Baltimore, United States Duration: 2015 Apr 23 → 2015 Apr 24

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9501
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Satellite Data Compression, Communications, and Processing XI
Country/Territory	United States
City	Baltimore
Period	15-04-23 → 15-04-24

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.2179667

Cite this

Li, H. C., Li, Y., Gao, C., Song, M., & Chang, C. I. (2015). Progressive band processing of orthogonal subspace projection in hyperspectral imagery. In Y. Li, C.-I. Chang, B. Huang, Q. Du, & C. Lee (Eds.), Satellite Data Compression, Communications, and Processing XI Article 95010F (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9501). SPIE. https://doi.org/10.1117/12.2179667

@inproceedings{2dd4105441164fdca10340c5c99b8030,

title = "Progressive band processing of orthogonal subspace projection in hyperspectral imagery",

abstract = "Progressive band processing (PBP) processes data band by band according to the Band SeQuential (BSQ) format acquired by a hyperspectral imaging sensor. It can be implemented in real time in the sense that data processing can be performed whenever bands are available without waiting for data completely collected. This is particularly important for satellite communication when data download is limited by bandwidth and transmission. This paper presents a new concept of processing a well-known technique, Orthogonal Subspace Projection (OSP) band by band, to be called PBPOSP. Several benefits can be gained by PBP-OSP. One is band processing capability which allows different receiving ends to process data whenever bands are available. Second, it enables users to identify significant bands during data processing. Third, unlike band selection which requires knowing the number of bands needed to be selected or band prioritization PBP-OSP can process arbitrary bands in real time with no need of such prior knowledge. Most importantly, PBP can locate and identify which bands are significant for data processing in a progressive manner. Such progressive profile resulting from PBP-OSP is the best advantage that PBP-OSP can offer and cannot be accomplished by any other OSP-like operators.",

author = "Li, {Hsiao Chi} and Yao Li and Cheng Gao and Meiping Song and Chang, {Chein I.}",

note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Satellite Data Compression, Communications, and Processing XI ; Conference date: 23-04-2015 Through 24-04-2015",

year = "2015",

doi = "10.1117/12.2179667",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

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}

Li, HC, Li, Y, Gao, C, Song, M & Chang, CI 2015, Progressive band processing of orthogonal subspace projection in hyperspectral imagery. in Y Li, C-I Chang, B Huang, Q Du & C Lee (eds), Satellite Data Compression, Communications, and Processing XI., 95010F, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9501, SPIE, Satellite Data Compression, Communications, and Processing XI, Baltimore, United States, 15-04-23. https://doi.org/10.1117/12.2179667

Progressive band processing of orthogonal subspace projection in hyperspectral imagery. / Li, Hsiao Chi; Li, Yao; Gao, Cheng et al.
Satellite Data Compression, Communications, and Processing XI. ed. / Yunsong Li; Chein-I Chang; Bormin Huang; Qian Du; Chulhee Lee. SPIE, 2015. 95010F (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9501).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - Progressive band processing (PBP) processes data band by band according to the Band SeQuential (BSQ) format acquired by a hyperspectral imaging sensor. It can be implemented in real time in the sense that data processing can be performed whenever bands are available without waiting for data completely collected. This is particularly important for satellite communication when data download is limited by bandwidth and transmission. This paper presents a new concept of processing a well-known technique, Orthogonal Subspace Projection (OSP) band by band, to be called PBPOSP. Several benefits can be gained by PBP-OSP. One is band processing capability which allows different receiving ends to process data whenever bands are available. Second, it enables users to identify significant bands during data processing. Third, unlike band selection which requires knowing the number of bands needed to be selected or band prioritization PBP-OSP can process arbitrary bands in real time with no need of such prior knowledge. Most importantly, PBP can locate and identify which bands are significant for data processing in a progressive manner. Such progressive profile resulting from PBP-OSP is the best advantage that PBP-OSP can offer and cannot be accomplished by any other OSP-like operators.

AB - Progressive band processing (PBP) processes data band by band according to the Band SeQuential (BSQ) format acquired by a hyperspectral imaging sensor. It can be implemented in real time in the sense that data processing can be performed whenever bands are available without waiting for data completely collected. This is particularly important for satellite communication when data download is limited by bandwidth and transmission. This paper presents a new concept of processing a well-known technique, Orthogonal Subspace Projection (OSP) band by band, to be called PBPOSP. Several benefits can be gained by PBP-OSP. One is band processing capability which allows different receiving ends to process data whenever bands are available. Second, it enables users to identify significant bands during data processing. Third, unlike band selection which requires knowing the number of bands needed to be selected or band prioritization PBP-OSP can process arbitrary bands in real time with no need of such prior knowledge. Most importantly, PBP can locate and identify which bands are significant for data processing in a progressive manner. Such progressive profile resulting from PBP-OSP is the best advantage that PBP-OSP can offer and cannot be accomplished by any other OSP-like operators.

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Y2 - 23 April 2015 through 24 April 2015

ER -

Progressive band processing of orthogonal subspace projection in hyperspectral imagery

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