Radiometric stability assessment of an airborne photogrammetric sensor in a test field

Markelin, Lauri; Honkavaara, Eija; Hakala, Teemu; Suomalainen, Juha; Peltoniemi, Jouni

doi:10.1016/j.isprsjprs.2010.05.003

Cited by 14 publications

(12 citation statements)

References 9 publications

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“…Vicarious calibration methods are often used to produce a new set of radiometric calibration coefficients to replace those derived in the laboratory [6], [7]. For airborne hyperspectral sensors, a feasible vicarious calibration method is reflectance-based test site calibration [8], [9]. To perform a test site calibration for airborne hyperspectral sensors, portable or permanent reference reflectance targets must be deployed over the test sites.…”

Section: Introductionmentioning

confidence: 99%

Land Surface Reflectance Retrieval from Hyperspectral Data Collected by an Unmanned Aerial Vehicle over the Baotou Test Site

Duan

Tang

et al. 2013

PLoS ONE

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To evaluate the in-flight performance of a new hyperspectral sensor onboard an unmanned aerial vehicle (UAV-HYPER), a comprehensive field campaign was conducted over the Baotou test site in China on 3 September 2011. Several portable reference reflectance targets were deployed across the test site. The radiometric performance of the UAV-HYPER sensor was assessed in terms of signal-to-noise ratio (SNR) and the calibration accuracy. The SNR of the different bands of the UAV-HYPER sensor was estimated to be between approximately 5 and 120 over the homogeneous targets, and the linear response of the apparent reflectance ranged from approximately 0.05 to 0.45. The uniform and non-uniform Lambertian land surface reflectance was retrieved and validated using in situ measurements, with root mean square error (RMSE) of approximately 0.01–0.07 and relative RMSE of approximately 5%–12%. There were small discrepancies between the retrieved uniform and non-uniform Lambertian land surface reflectance over the homogeneous targets and under low aerosol optical depth (AOD) conditions (AOD = 0.18). However, these discrepancies must be taken into account when adjacent pixels had large land surface reflectance contrast and under high AOD conditions (e.g. AOD = 1.0).

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Section: Introductionmentioning

confidence: 99%

Land Surface Reflectance Retrieval from Hyperspectral Data Collected by an Unmanned Aerial Vehicle over the Baotou Test Site

Duan

Tang

et al. 2013

PLoS ONE

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“…In the non‐saturated cases the R 2 ‐values of linear regression were over 0·993 for all channels. The vicarious radiometric calibration was calculated with different settings and the radiometric stability of the system was assessed by evaluating the fit of the calibration parameters obtained for one setting with another setting (details are given by Markelin et al, 2010b). The difference in R, G and B channels was on average 2·9 to 4·3 % for same day and same f‐number data, 3·5 to 4·5 % for same day and different f‐number data and 3·1 to 5·2 % for data collected on different days.…”

Section: Resultsmentioning

confidence: 99%

“…By imaging system it is meant the data collection system (Honkavaara, 2008). This paper will be concerned mainly with the geometric aspects, since the analysis of radiometric performance has already been presented for the most part by Markelin et al (2010b).…”

Section: Introductionmentioning

confidence: 99%

Calibrating and validating multispectral 3D imaging systems at a permanent test site—case study with an Intergraph DMC

Honkavaara

Nurminen

Markelin

et al. 2011

The Photogrammetric Record

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Novel photogrammetric sensors open up new possibilities for measuring the radiometric and geometric properties of the earth’s surface. To ensure optimal use of these complex, rapidly developing, diverse systems, it is becoming crucial to have a means of calibrating and validating complete imaging systems, and even production lines, in operational conditions. This paper presents a calibration and validation methodology based on a permanent test site (Sjökulla) and demonstrates its use in a calibration and validation campaign for a large‐format photogrammetric imaging system, the Intergraph DMC. The major objective of the campaign was to perform acceptance testing of the new camera system procured by the National Land Survey of Finland. The evaluation proved the high geometric and radiometric performance of the imaging system and demonstrated the potential of spectrodirectional photogrammetric 3D imaging. The usability aspects of test site calibration and validation from the point of view of a mapping organisation were also considered.

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“…Targets with a large reflectance range, 0.03-0.90, are desirable, but, for example in photogrammetric applications and systems, a reflectance of 0.50 is often the upper limit, while from the point of view of atmospheric correction a reflectance of at least 0.30 is desired. Recent evaluations have shown that it is preferable to have several reflectance steps to characterize system radiometry over the entire dynamic rage (for example, 0.05, 0.20, 0.30, and 0.50) [28,29]. 3.…”

Section: Recommendationsmentioning

confidence: 99%

Analysis of Properties of Reflectance Reference Targets for Permanent Radiometric Test Sites of High Resolution Airborne Imaging Systems

et al. 2010

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Reliable and optimal exploitation of rapidly developing airborne imaging methods requires geometric and radiometric quality assurance of production systems in operational conditions. Permanent test sites are the most promising approach for cost-efficient performance assessment. Optimal construction of permanent radiometric test sites for high resolution airborne imaging systems is an unresolved issue. The objective of this study was to assess the performance of commercially available gravels and painted and unpainted concrete targets for permanent, open-air radiometric test sites under sub-optimal climate conditions in Southern Finland. The reflectance spectrum and reflectance anisotropy and their stability were characterized during the summer of 2009. The management of reflectance anisotropy and stability were shown to be the key issues for better than 5% reflectance accuracy.

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Radiometric stability assessment of an airborne photogrammetric sensor in a test field

Cited by 14 publications

References 9 publications

Land Surface Reflectance Retrieval from Hyperspectral Data Collected by an Unmanned Aerial Vehicle over the Baotou Test Site

Land Surface Reflectance Retrieval from Hyperspectral Data Collected by an Unmanned Aerial Vehicle over the Baotou Test Site

Calibrating and validating multispectral 3D imaging systems at a permanent test site—case study with an Intergraph DMC

Analysis of Properties of Reflectance Reference Targets for Permanent Radiometric Test Sites of High Resolution Airborne Imaging Systems

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