Impact of Radiometric Calibration and Specifications of Spaceborne Optical Imaging Sensors on the Development of Operational Automatic Remote Sensing Image Understanding Systems

被引:24
作者
Baraldi, Andrea [1 ]
机构
[1] Commiss European Communities, Joint Res Ctr, I-21020 Ispra, Va, Italy
关键词
Image understanding system; operational performance measurement; radiometric calibration into top-of-atmosphere (exoatmospheric planetary) radiance/reflectance values; RESOLUTION MULTISPECTRAL DATA; LANDSAT-TM; CLASSIFICATION; ACCURACY; FEATURES;
D O I
10.1109/JSTARS.2009.2023801
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
The development of operational automatic remote sensing (RS) image understanding systems (RS-IUSs) represents a traditional goal of the RS community. Unfortunately, to date, the transformation of huge amounts of multisource, multiresolution Earth observation (EO) imagery into information still remains far below reasonable expectations. The original contribution of this work to existing knowledge on the subject of automating the quantitative analysis of EO images is fourfold. In primis this paper moves from existing literature to consider the radiometric calibration of RS images a necessary, although not sufficient, condition for implementation of operational automatic RS-IUSs. This requirement complements the traditional perception of calibration and validation (Cal/Val)-related activities as crucial in achieving harmonization and interoperability of multisource EO data and derived information products generated at all scales as envisaged under: (i) the Global Monitoring for the Environment and Security (GMES) project, led by the European Union (EU), and (ii) the Global Earth Observation System of Systems (GEOSS) program, conceived by the Group on Earth Observations (GEO) whose space arm, the Committee of Earth Observations (CEOS), recently delivered a Quality Assurance Framework for Earth Observation (QA4EO) data. The second objective of this paper is to solicit the RS community to further investigate the calibration quality and uncertainty of the well-known Satellite Pour l'Observation de la Terre (SPOT) and Indian Remote sensing Satellite (IRS) imaging sensor series whose zero-value offset parameters appear questionable based on experimental evidence. Third, this work provides a quantitative assessment of the spectral information loss that, in comparison with the ongoing SPOT-4/-5 optical sensors, may affect future planned European EO satellites such as Pleiades-1/-2 and the follow-on missions Astrium SPOT-6/-7. Finally, this work shows that, in several recent or ongoing scientific applications of EO images acquired across time, space, and sensors, the mandatory radiometric calibration preprocessing stage appears to be surprisingly ignored or underestimated by EU space agencies and research institutions that have been members of the CEOS for more than twenty years and should be eager to transform the new QA4EO initiative into RS common practice.
引用
收藏
页码:104 / 134
页数:31
相关论文
共 89 条
[1]   A solution blending route to ethylene propylene diene terpolymer/layered double hydroxide nanocomposites [J].
Acharya, H. ;
Srivastava, S. K. ;
Bhowmick, Anil K. .
NANOSCALE RESEARCH LETTERS, 2007, 2 (01) :1-5
[2]  
[Anonymous], 2006, ENVI 4 3 US MAN
[3]  
[Anonymous], 1998, Learning from data-concepts, theory and methods
[4]  
[Anonymous], GLOB EARTH OBS SYST
[5]   EVALUATION OF TEXTURAL AND MULTIPOLARIZATION RADAR FEATURES FOR CROP CLASSIFICATION [J].
ANYS, H ;
HE, DC .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1995, 33 (05) :1170-1181
[6]   Combined detection of intensity and chromatic contours in color images [J].
Baraldi, A ;
Parmiggiani, F .
OPTICAL ENGINEERING, 1996, 35 (05) :1413-1439
[7]   Quality assessment of classification and cluster maps without ground truth knowledge [J].
Baraldi, A ;
Bruzzone, L ;
Blonda, P .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2005, 43 (04) :857-873
[8]  
BARALDI A, IEEE T GEOSCI UNPUB
[9]  
BARALDI A, IEEE T GEOS IN PRESS
[10]   Automatic spectral rule-based preliminary mapping of calibrated landsat TM and ETM plus images [J].
Baraldi, Andrea ;
Puzzolo, Virginia ;
Blonda, Palma ;
Bruzzone, Lorenzo ;
Tarantino, Cristina .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2006, 44 (09) :2563-2586