Information content of multi-angular remote sensing data

被引：0

作者：

Xu, WL ^{[1
]}

Yang, H ^{[1
]}

Li, XM ^{[1
]}

Wang, JD ^{[1
]}

Yan, GJ ^{[1
]}

机构：

[1] Beijing Normal Univ, Dept Math, Beijing 100875, Peoples R China

来源：

IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we take the kernel-driven model as an example, focus on the information contents definition and calculation of multi-angular remote sensing (MARS) data. We study four methods to measure the information content of MARS data: Fisher statistic, information entropy, determinant and sum of the diagonal elements of the information matrix, how to use the Fisher statistic theory and information entropy to measure the information contents of MARS data, to calculate the information contents of the dataset on the three unknowns for different subset of the data. The analyses show that information entropy is a good tool for measuring information content of MARS data.

引用

页码：1636 / 1638

页数：3

共 50 条

[21] Tracking plant physiological properties from multi-angular tower-based remote sensing
Thomas Hilker
Anatoly Gitelson
Nicholas C. Coops
Forrest G. Hall
T. Andrew Black
[J]. Oecologia, 2011, 165 : 865 - 876
[22] Multi-angular polarimetric remote sensing to pinpoint global aerosol absorption and direct radiative forcing
Cheng Chen
Oleg Dubovik
Gregory L. Schuster
Mian Chin
Daven K. Henze
Tatyana Lapyonok
Zhengqiang Li
Yevgeny Derimian
Ying Zhang
[J]. Nature Communications, 13
[23] Detection of foliage conditions and disturbance from multi-angular high spectral resolution remote sensing
Hilker, Thomas
Coops, Nicholas C.
Coggins, Samuel B.
Wulder, Michael A.
Brown, Mathew
Black, T. Andrew
Nesic, Zoran
Lessard, Dominic
[J]. REMOTE SENSING OF ENVIRONMENT, 2009, 113 (02) : 421 - 434
[24] Tracking plant physiological properties from multi-angular tower-based remote sensing
Hilker, Thomas
Gitelson, Anatoly
Coops, Nicholas C.
Hall, Forrest G.
Black, T. Andrew
[J]. OECOLOGIA, 2011, 165 (04) : 865 - 876
[25] Comparing methods for estimating leaf area index by multi-angular remote sensing in winter wheat
He, Li
Ren, Xingxu
Wang, Yangyang
Liu, Beicheng
Zhang, Haiyan
Liu, Wandai
Feng, Wei
Guo, Tiancai
[J]. SCIENTIFIC REPORTS, 2020, 10 (01)
[26] Validation of MODIS albedo product by using field measurements and airborne multi-angular remote sensing observations
Wang, JD
Jiao, ZT
Gao, F
Xie, L
Yan, GJ
Xiang, YQ
Liang, SL
Li, XW
[J]. IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 1888 - 1890
[27] Estimating canopy leaf nitrogen concentration in winter wheat based on multi-angular hyperspectral remote sensing
He, Li
Zhang, Hai-Yan
Zhang, Yuan-Shuai
Song, Xiao
Feng, Wei
Kang, Guo-Zhang
Wang, Chen-Yang
Guo, Tian-Cai
[J]. EUROPEAN JOURNAL OF AGRONOMY, 2016, 73 : 170 - 185
[28] MISR multi-angular spectral remote sensing for temperate forest mapping at 1.1-km resolution
Liu, X.
Kafatos, M.
[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2007, 28 (1-2) : 459 - 464
[29] Monitoring the Vertical Distribution of Maize Canopy Chlorophyll Content Based on Multi-Angular Spectral Data
Wu, Bin
Ye, Huichun
Huang, Wenjiang
Wang, Hongye
Luo, Peilei
Ren, Yu
Kong, Weiping
[J]. REMOTE SENSING, 2021, 13 (05) : 1 - 17
[30] ON THE CLASSIFICATION OF TREE SYSTEMS USING SPECTRAL MULTI-ANGULAR INFORMATION
Cano-Gonzalez, Alejandro
Paz-Pellat, Fernando
Bolanos-Gonzalez, Martin
Palacios-Velez, Enrique
Mejia-Saenz, Enrique
Oropeza-Mota, Jose L.
Valdez-Lazalde, Rene
Chavez-Chan, Jose
Zarco-Hidalgo, Alfonso
[J]. AGROCIENCIA, 2009, 43 (03) : 279 - 290

← 1 2 3 4 5 →