<scp>ZY</scp>‐3 Block adjustment supported by glas laser altimetry data

Li, Guoyuan; Tang, Xinming; Gao, Xiaoming; Wang, Huabin; Wang, Yu

doi:10.1111/phor.12138

Cited by 36 publications

(28 citation statements)

References 38 publications

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“…For example, [21][22][23][24][25][26][27][28] used different digital elevation models (DEMs) as elevation constraints for the high geometric positioning. Additionally, laser altimetry data can be adopted to improve the geometric positioning accuracy, as shown in [29][30][31][32][33]. In [34,35], digital terrain models (DTMs) were integrated into bundle adjustment models.…”

Section: Introductionmentioning

confidence: 99%

Combined Geometric Positioning and Performance Analysis of Multi-Resolution Optical Imageries from Satellite and Aerial Platforms Based on Weighted RFM Bundle Adjustment

et al. 2021

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Combined geometric positioning using images with different resolutions and imaging sensors is being increasingly widely utilized in practical engineering applications. In this work, we attempt to perform the combined geometric positioning and performance analysis of multi-resolution optical images from satellite and aerial platforms based on weighted rational function model (RFM) bundle adjustment without using ground control points (GCPs). Firstly, we introduced an integrated image matching method combining least squares and phase correlation. Next, for bundle adjustment, a combined model of the geometric positioning based on weighted RFM bundle adjustment was derived, and a method for weight determination was given to make the weights of all image points variable. Finally, we conducted experiments using a case study in Shanghai with ZiYuan-3 (ZY-3) satellite imagery, GeoEye-1 satellite imagery, and Digital Mapping Camera (DMC) aerial imagery to validate the effectiveness of the proposed weighted method, and to investigate the positioning accuracy by using different combination scenarios of multi-resolution heterogeneous images. The experimental results indicate that the proposed weighted method is effective, and the positioning accuracy of different combination scenarios can give a good reference for the combined geometric positioning of multi-stereo heterogeneous images in future practical engineering applications.

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Section: Introductionmentioning

confidence: 99%

Combined Geometric Positioning and Performance Analysis of Multi-Resolution Optical Imageries from Satellite and Aerial Platforms Based on Weighted RFM Bundle Adjustment

et al. 2021

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“…Some researchers have employed the GLAS footprint as height control points in optical imagery block adjustment, which significantly improved altitude accuracy [20]. Li et al added two GLAS height control points for every ZiYuan-3 image in the block area, and the vertical accuracy satisfied the requirements doe 1:50,000 scale mapping [21]. However, few studies have been dedicated to the study of geometric accuracy improvement of HR optical images combined with SAR images and space-borne laser altimetry footprints, which could play an important role in geopositioning without GCPs.…”

Section: Introductionmentioning

confidence: 99%

Geometric Accuracy Improvement Method for High-Resolution Optical Satellite Remote Sensing Imagery Combining Multi-Temporal SAR Imagery and GLAS Data

et al. 2020

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With the widespread availability of satellite data, a single region can be described using multi-source and multi-temporal remote sensing data, such as high-resolution (HR) optical imagery, synthetic aperture radar (SAR) imagery, and space-borne laser altimetry data. These have become the main source of data for geopositioning. However, due to the limitation of the direct geometric accuracy of HR optical imagery and the effect of the small intersection angle of HR optical imagery in stereo pair orientation, the geometric accuracy of HR optical imagery cannot meet the requirements for geopositioning without ground control points (GCPs), especially in uninhabited areas, such as forests, plateaus, or deserts. Without satellite attitude error, SAR usually provides higher geometric accuracy than optical satellites. Space-borne laser altimetry technology can collect global laser footprints with high altitude accuracy. Therefore, this paper presents a geometric accuracy improvement method for HR optical satellite remote sensing imagery combining multi-temporal SAR Imagery and GLAS data without GCPs. Based on the imaging mechanism, the differences in the weight matrix determination of the HR optical imagery and SAR imagery were analyzed. The laser altimetry data with high altitude accuracy were selected and applied as height control point in combined geopositioning. To validate the combined geopositioning approach, GaoFen2 (GF2) optical imagery, GaoFen6 (GF6) optical imagery, GaoFen3 (GF3) SAR imagery, and the Geoscience Laser Altimeter System (GLAS) footprint were tested. The experimental results show that the proposed model can be effectively applied to combined geopositioning to improve the geometric accuracy of HR optical imagery. Moreover, we found that the distribution and weight matrix determination of SAR images and the distribution of GLAS footprints are the crucial factors influencing geometric accuracy. Combined geopositioning using multi-source remote sensing data can achieve a plane accuracy of 1.587 m and an altitude accuracy of 1.985 m, which is similar to the geometric accuracy of geopositioning of GF2 with GCPs.

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“…ZY3‐02 is the first Chinese satellite equipped with a laser altimeter for earth observation (Li et al., a; Tang et al., ). (Li et al, , had to use GLAS laser altimeter measurements with ZY3‐01 data.) In Fig.…”

Section: Introductionmentioning

confidence: 99%

In‐orbit geometric calibration and experimental verification of the ZY3‐02 laser altimeter

Xie

Tang

et al. 2018

The Photogrammetric Record

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ZY3-02 is the first Chinese earth-observation satellite equipped with a laser altimeter, designed to assist stereo-image mapping elevations. Launch vibrations, the space environment and other factors, both expected and unexpected, cause bias in the designed ranging and pointing of the laser altimeter, influencing its height measurement accuracy. This paper proposes an in-orbit geometric calibration model which considers this bias as unknown systematic errors. The unknown parameters were calibrated by the minimum ranging error principle using laser spot geolocation data captured by a ground-based laser detector array. Based on precise orbit and attitude data, the precise geolocation information of the laser footprints could be obtained. Validation experiments show that the elevation precision of the laser altimeter can reach 1 m.

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ZY‐3 Block adjustment supported by glas laser altimetry data

Cited by 36 publications

References 38 publications

Combined Geometric Positioning and Performance Analysis of Multi-Resolution Optical Imageries from Satellite and Aerial Platforms Based on Weighted RFM Bundle Adjustment

Combined Geometric Positioning and Performance Analysis of Multi-Resolution Optical Imageries from Satellite and Aerial Platforms Based on Weighted RFM Bundle Adjustment

Geometric Accuracy Improvement Method for High-Resolution Optical Satellite Remote Sensing Imagery Combining Multi-Temporal SAR Imagery and GLAS Data

In‐orbit geometric calibration and experimental verification of the ZY3‐02 laser altimeter

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