Uniform band interval divided band selection

Fang Li; Hongju Cao; Xiaodi Shang; Meiping Song; Chunyan Yu; Chein I. Chang

doi:10.1109/IGARSS.2019.8900363

Uniform band interval divided band selection

Fang Li, Hongju Cao, Xiaodi Shang, Meiping Song, Chunyan Yu, Chein I. Chang

電機工程學系

研究成果: Paper › 同行評審

1 引文斯高帕斯（Scopus）

摘要

This paper presents a new band selection approach, called uniform band interval divided band selection (UBIDBS) which uniformly divides a band range into a finite number of band intervals from which a band can be selected from each band interval according to a custom designed band prioritization (BP) criterion. Two BP criteria are introduced. One is derived from orthogonal subspace projection (OSP). The other is based on correlation matrix R originated from constrained energy minimization (CEM). These two criteria allow users to identify a most significant band to be selected in each of band intervals. As a result, it avoids band decorrelation required by BP to remove adjacent highcorrelated bands.

原文	English
頁面	3816-3819
頁數	4
DOIs	https://doi.org/10.1109/IGARSS.2019.8900363
出版狀態	Published - 2019
事件	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan 持續時間: 2019 7月 28 → 2019 8月 2

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
國家/地區	Japan
城市	Yokohama
期間	19-07-28 → 19-08-02

All Science Journal Classification (ASJC) codes

電腦科學應用
一般地球與行星科學

存取文件

10.1109/IGARSS.2019.8900363

其它文件與鏈接

引用此

@conference{31d3cec0ff8e4096917d4f8a5f97411c,

title = "Uniform band interval divided band selection",

abstract = "This paper presents a new band selection approach, called uniform band interval divided band selection (UBIDBS) which uniformly divides a band range into a finite number of band intervals from which a band can be selected from each band interval according to a custom designed band prioritization (BP) criterion. Two BP criteria are introduced. One is derived from orthogonal subspace projection (OSP). The other is based on correlation matrix R originated from constrained energy minimization (CEM). These two criteria allow users to identify a most significant band to be selected in each of band intervals. As a result, it avoids band decorrelation required by BP to remove adjacent highcorrelated bands.",

author = "Fang Li and Hongju Cao and Xiaodi Shang and Meiping Song and Chunyan Yu and Chang, {Chein I.}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",

year = "2019",

doi = "10.1109/IGARSS.2019.8900363",

language = "English",

pages = "3816--3819",

}

TY - CONF

T1 - Uniform band interval divided band selection

AU - Li, Fang

AU - Cao, Hongju

AU - Shang, Xiaodi

AU - Song, Meiping

AU - Yu, Chunyan

AU - Chang, Chein I.

PY - 2019

Y1 - 2019

N2 - This paper presents a new band selection approach, called uniform band interval divided band selection (UBIDBS) which uniformly divides a band range into a finite number of band intervals from which a band can be selected from each band interval according to a custom designed band prioritization (BP) criterion. Two BP criteria are introduced. One is derived from orthogonal subspace projection (OSP). The other is based on correlation matrix R originated from constrained energy minimization (CEM). These two criteria allow users to identify a most significant band to be selected in each of band intervals. As a result, it avoids band decorrelation required by BP to remove adjacent highcorrelated bands.

AB - This paper presents a new band selection approach, called uniform band interval divided band selection (UBIDBS) which uniformly divides a band range into a finite number of band intervals from which a band can be selected from each band interval according to a custom designed band prioritization (BP) criterion. Two BP criteria are introduced. One is derived from orthogonal subspace projection (OSP). The other is based on correlation matrix R originated from constrained energy minimization (CEM). These two criteria allow users to identify a most significant band to be selected in each of band intervals. As a result, it avoids band decorrelation required by BP to remove adjacent highcorrelated bands.

UR - http://www.scopus.com/inward/record.url?scp=85113823615&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85113823615&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2019.8900363

DO - 10.1109/IGARSS.2019.8900363

M3 - Paper

AN - SCOPUS:85113823615

SP - 3816

EP - 3819

T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019

Y2 - 28 July 2019 through 2 August 2019

ER -

Uniform band interval divided band selection

摘要

Conference

All Science Journal Classification (ASJC) codes

存取文件

其它文件與鏈接

指紋

引用此