RapidEye product quality assessment

Beckett, Keith; Rampersad, Chris; Putih, Rony; Robertson, B.C.; Steyn, Joe; Tyc, George

doi:10.1117/12.830548

Cited by 6 publications

(5 citation statements)

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“…The three ZY‐3 TLC images (one covering the Henan area and two covering the Tianjin area) were adopted for geometric calibration. Three offset matrices were solved using these three images; however, only one interior orientation parameter was solved for all images because the interior orientation parameter is stable during orbit within a short period of time (Beckett et al., ). GCPs for calibration were obtained by matching ZY‐3 TLC images with corresponding digital orthophotomaps every fourth row using the high‐accuracy match algorithm of Leprince et al.…”

Section: Results and Analysismentioning

confidence: 99%

In‐Orbit Geometric Calibration And Validation Of Zy‐3 Linear Array Sensors

Zhang

Jiang

et al. 2014

The Photogrammetric Record

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The ZiYuan‐3 surveying satellite (ZY‐3), launched on 9th January 2012, is China's first civilian high‐resolution stereo mapping satellite. To ensure the mapping accuracy of ZY‐3, considerable research has been conducted since its launch on the calibration and validation of its three‐line array charge‐coupled device (CCD) sensors (TLC sensors). Its dynamic exterior systematic errors (such as camera installation errors) and static interior distortion were eliminated using 1:2000 digital orthophotomaps and digital elevation models (DEMs) of the Dengfeng (Henan) and Tianjin areas of China as control data. Various CCD alignment calibration models were compared, on the basis of their geometric accuracy after calibration, to determine the optimal model. Finally, validation experiments were performed using ZY‐3 TLC images and ground control points (GCPs) collected over Anping in Hebei Province, Zhaodong in Heilongjiang Province and the Taihang Mountain area in China. The positioning accuracy attained its theoretical value over the Anping and Zhaodong areas. Using GCPs whose image coordinates were obtained manually, the plan and height accuracy were found to be better than 3 m and 2 m, respectively.

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Section: Results and Analysismentioning

confidence: 99%

In‐Orbit Geometric Calibration And Validation Of Zy‐3 Linear Array Sensors

Zhang

Jiang

et al. 2014

The Photogrammetric Record

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“…Using the high-precision matching algorithm [16], 13,086 connection points were obtained on the 221-scene image. Based on the image affine model of RPC expressed in Equation (5), DEM-assisted uncontrolled plane adjustment [20][21][22] was performed on the region 221-scene image. The auxiliary DEM is the DEM with a 25 m resolution and 5 m elevation accuracy of the Shanxi region.…”

Section: Results Of Block Adjustmentmentioning

confidence: 99%

Geometric Processing and Accuracy Verification of Zhuhai-1 Hyperspectral Satellites

et al. 2019

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The second batch of Zhuhai-1 microsatellites was successfully launched on 26 April 2018. The batch included four Orbita hyperspectral satellites (referred to as OHS-A, OHS-B, OHS-C, and OHS-D) and one video satellite (OVS-2A), which have excellent hyperspectral data acquisition abilities. For the first time in China, a number of hyperspectral satellite networks have been realized. To ensure the application of hyperspectral remote sensing data, a series of on-orbit geometry processing and accuracy verification studies has been carried out on the “Zhuhai-1” hyperspectral camera since the satellite was launched. This paper presents the geometric processing methods involved in the production of Zhuhai-1 hyperspectral satellite basic products, including geometric calibration and basic product production algorithms. The OHS images were used to perform on-orbit geometric calibration, and the calibration accuracy was better than 0.5 pixels. The registration accuracy of the image spectrum of the basic product after calibration, the single orientation accuracy, and the accuracy of the regional network adjustment were evaluated. The spectral registration accuracy of the OHS basic products is 0.3–0.5 pixels, which is equivalent to the spectral band calibration accuracy. The single orientation accuracy is better than 1.5 pixels and the regional network adjustment accuracy is better than 1.2 pixels. The generated area orthoimages meet the seamless edge requirements, which verifies that the OHS basic product image has good regional mapping capabilities and can meet the application requirements.

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“…Before the side slither method was introduced, the relative spatial radiometric calibration approach was purely based on the simultaneous derivation of detector gains and offsets, using all scenes collected by the instrument in a given period of time. This approach was developed by MDA and recommended as RapidEye's main calibration method [11], [12].…”

Section: Side Slither Calibrationmentioning

confidence: 99%

The RapidEye constellation and its data products

Stoll¹,

Konstanski²,

Anderson³

et al. 2012

2012 IEEE Aerospace Conference

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RapidEye is a commercial remote sensing mission delivering geospatial information. Five identical satellites in a sun-synchronous orbit image more than four million square kilometers per day. RapidEye features the unique ability to revisit any area on Earth daily. Within three years of operation, the constellation mastered a number of complex challenges, which led to an evolved mission concept. RapidEye started commercial operations in February 2009 and utilizes its own dedicated spacecraft control center and a full ground segment designed to plan, acquire, and process several millions of square kilometers of imagery every day. In order to keep up with evolving market demands, RapidEye has continually worked at advancing the mission concept beyond its original vision and capabilities, extending the mission concept to include data sales, emergency response, and direct downlink capabilities. As a result RapidEye can reliably and predictably supply the most current, cost-effective, and high quality information about features on the Earth's surface. This paper describes the challenges that have to be met for adapting to an evolving geospatial information market. It shows the possibilities and limitations of the satellite constellation and the engineering efforts that have to be undertaken to provide highly reliable data products.

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RapidEye product quality assessment

Cited by 6 publications

References 0 publications

In‐Orbit Geometric Calibration And Validation Of Zy‐3 Linear Array Sensors

In‐Orbit Geometric Calibration And Validation Of Zy‐3 Linear Array Sensors

Geometric Processing and Accuracy Verification of Zhuhai-1 Hyperspectral Satellites

The RapidEye constellation and its data products

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