SENTINEL-2 LEVEL 1 PRODUCTS AND IMAGE PROCESSING PERFORMANCES

被引：34

作者：

Baillarin, S. J. ^{[1
]}

Meygret, A. ^{[1
]}

Dechoz, C. ^{[1
]}

Petrucci, B. ^{[1
]}

Lacherade, S. ^{[1
]}

Tremas, T. ^{[1
]}

Isola, C.

Martimort, P.

Spoto, F.

机构：

[1] CNES, F-31401 Toulouse 4, France

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

Radiometry; Geometry; Image processing; Performances; GMES; Sentinel-2;

D O I：

10.1109/IGARSS.2012.6351959

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In partnership with the European Commission and in the frame of the Global Monitoring for Environment and Security (GMES) program, the European Space Agency (ESA) is developing the Sentinel-2 optical imaging mission devoted to the operational monitoring of land and coastal areas. The Sentinel-2 mission is based on a satellites constellation deployed in polar sun-synchronous orbit. Sentinel-2 will offer wide improvements such as a unique combination of global coverage with a wide field of view (290km), a high revisit (5 days with two satellites), a high resolution (10m, 20m and 60m) and multi-spectral imagery (13 spectral bands in visible and shortwave infra-red domains). In this context, the Centre National d'Etudes Spatiales (CNES) supports ESA to define the system image products and to prototype the relevant image processing techniques.

引用

页码：7003 / 7006

页数：4

共 50 条

[21] Sentinel-1 and Sentinel-2 data fusion to distinguish building damage level of the 2018 Lombok Earthquake
Putri, Ade Febri Sandhini
Widyatmanti, Wirastuti
Umarhadi, Deha Agus
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2022, 26
[22] Sentinel-2 Image Fusion Using a Deep Residual Network
Palsson, Frosti
Sveinsson, Johannes R.
Ulfarsson, Magnus O.
REMOTE SENSING, 2018, 10 (08)
[23] BENCHMARK OF MACHINE LEARNING METHODS FOR CLASSIFICATION OF A SENTINEL-2 IMAGE
Pirotti, F.
Sunar, F.
Piragnolo, M.
XXIII ISPRS CONGRESS, COMMISSION VII, 2016, 41 (B7): : 335 - 340
[24] DEEP LEARNING FOR THE CLASSIFICATION OF SENTINEL-2 IMAGE TIME SERIES
Pelletier, Charlotte
Webb, Geoffrey I.
Petitjean, Francois
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 461 - 464
[25] Forest Structure Characterization in Germany: Novel Products and Analysis Based on GEDI, Sentinel-1 and Sentinel-2 Data
Kacic, Patrick
Thonfeld, Frank
Gessner, Ursula
Kuenzer, Claudia
REMOTE SENSING, 2023, 15 (08)
[26] Sentinel-1 Data Processing and Products
Rosich, B.
Miranda, N.
Grimont, P.
Potin, P.
Sabella, G.
Putignano, C.
Lo Zito, F.
Izzo, G. P.
Angelucci, B.
Buscemi, G.
Houghton, N.
Doyle, E.
Badessi, S.
10TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2014), 2014,
[27] AGB estimation using Sentinel-2 and Sentinel-1 datasets
Mohammad Qasim
Elmar Csaplovics
Environmental Monitoring and Assessment, 2024, 196
[28] AGB estimation using Sentinel-2 and Sentinel-1 datasets
Qasim, Mohammad
Csaplovics, Elmar
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (03)
[29] OVERVIEW OF SENTINEL-2
Fernandez, Valerie
Martimort, Philippe
Spoto, Francois
Sy, Omar
Laberinti, Paolo
SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XVII, 2013, 8889
[30] OVERVIEW OF SENTINEL-2
Spoto, Francois
Sy, Omar
Laberinti, Paolo
Martimort, Philippe
Fernandez, Valerie
Colin, Olivier
Hoersch, Bianca
Meygret, Aime
2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 1707 - 1710

← 1 2 3 4 5 →