The match filter (MF) is always superior to constrained energy minimization (CEM)

被引：19

作者：

Geng, Xiurui ^{[1
,2
]}

Yang, Weitun ^{[1
,2
]}

Ji, Luyan ^{[3
]}

Wang, Fuxiang ^{[4
]}

Zhao, Yongchao ^{[1
,2
]}

机构：

[1] Chinese Acad Sci, Inst Elect, Key Lab Technol Geospatial Informat Proc & Applic, Beijing 100190, Peoples R China

[2] Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing, Peoples R China

[3] Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Dept Earth Syst Sci, Beijing, Peoples R China

[4] Beihang Univ, Sch Elect & Informat Engn, Beijing, Peoples R China

来源：

REMOTE SENSING LETTERS | 2017年 / 8卷 / 07期

关键词：

SUBPIXEL TARGET DETECTION; ALGORITHMS;

D O I：

10.1080/2150704X.2017.1312616

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

The constrained energy minimization (CEM) and matched filter (MF) are two most frequently used target detection algorithms in the remotely sensed community. In this paper, we first introduce an augmented CEM (ACEM) by adding a N-dimensional band consisting of 1's. According to a recently published conclusion that CEM can always achieve a better performance by adding any linearly independent bands, ACEM is better than CEM. Further, we prove that ACEM is mathematically equivalent to MF. As a result, we can conclude that the classical matched filter (MF) is always superior to the CEM operator.

引用

页码：696 / 702

页数：7

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