Abstract

The Luojia1-01 satellite provides high-resolution, high-sensitivity nighttime light data at a resolution of 130 m. To effectively use the Luojia1-01 nighttime light data for global applications, the problems of relative and absolute positioning accuracy should be solved. This paper proposes a high accuracy regional geometric processing method of nighttime light imagery. We utilized a nighttime light image matching algorithm to obtain tie points, which are used in the planar block adjustment with ground control points. Then, orthorectification of all images is implemented. Finally, we obtain the nighttime light map of China by mosaicking all the nighttime light orthoimages. According to the experimental results for 275 Luojia1-01 images, the root mean square error of the tie points is 0.983 pixels and the root mean square error of independent checkpoints is 195.491 m (less than 1.5 pixels) after the planar block adjustment. The experimental results prove the validity and feasibility of the proposed method.

Highlights

  • The Luojia 1-01 satellite was launched at 12:13 on 2 June 2018 [1]

  • Zhang presented an approach for block adjustment with sparse ground control points (GCPs) by using SPOT-5 high-resolution stereoscopic imagery [31], and the results showed that by using a small number of GCPs, an accuracy of 5–9 m in the planimetric view and 2–3 m in the height direction could be achieved

  • Through the nighttime light image geometric processing method proposed in this paper, a high accuracy geometric processing method is carried out for China’s land regions with LuoJia1-01 Nighttime light imagery

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Summary

Introduction

The Luojia 1-01 satellite was launched at 12:13 on 2 June 2018 [1]. It is the first Chinese professional nighttime remote-sensing satellite and was jointly developed by Wuhan University and Chang Guang Satellite Technology Co., Ltd. To achieve better application results, the geometric and radiation quality of Luojia nighttime light imagery must be guaranteed. The geometric and radiation quality of each Luojia image has been greatly improved with on-orbit calibration [29,30]. This is not enough for regional coverage of imaging products. Yang carried out the integrated processing of large-scale ZY-3 satellite images based on virtual control points [37], and the experimental results indicated that the presented method could effectively improve the geometric accuracies of ZY-3 satellite images. A high accuracy regional geometric processing method of nighttime light imagery is proposed. We completed the Luojia nighttime light map of China by mosaic

Materials and Methods
Image Selection
Removal of Stray Light
Extract Feature Points
Acquisition of Matching Point Pairs
Planar Block Adjustment
Mathematical Model of Planar Block Adjustment
Experimental Design
Test Area for TPs Matching of Nighttime Light Imagery
Nighttime Light Image Matching Experiment
Conclusions
Full Text
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