Progress and prospect of atmospheric scattering correction for laser altimetry satellite

Satellite laser altimetry can obtain sub-meter or even centimeter-scale surface elevation data over large areas, but it is inevitably affected by scattering caused by clouds, aerosols, and other atmospheric particles. This laser ranging error caused by scattering cannot be ignored. In this study, we systematically combined existing atmospheric scattering identification technology used in satellite laser altimetry and observed that the traditional algorithm cannot effectively estimate the laser multiple scattering of the GaoFen-7 (GF-7) satellite. To solve this problem, we used data from the GF-7 satellite to analyze the importance of atmospheric scattering and propose an identification scheme for atmospheric scattering data over land and water areas. We also used a look-up table and a multi-layer perceptron (MLP) model to identify and correct atmospheric scattering, for which the availability of land and water data reached 16.67% and 26.09%, respectively. After correction using the MLP model, the availability of land and water data increased to 21% and 30%, respectively. These corrections mitigated the low identification accuracy due to atmospheric scattering, which is significant for facilitating satellite laser altimetry data processing.

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Single Image Dehazing by Predicting Atmospheric Scattering Parameters

London Imaging Meeting ◽

10.2352/issn.2694-118x.2020.lim-11 ◽

2020 ◽

Vol 2020 (1) ◽

pp. 74-77

Author(s):

Simone Bianco ◽

Luigi Celona ◽

Flavio Piccoli

Keyword(s):

Reference Image ◽

Single Image ◽

Scattering Parameters ◽

Image Dehazing ◽

Atmospheric Scattering ◽

Local Structures ◽

Full Reference ◽

Reconstruction Quality ◽

Single Image Dehazing

In this work we propose a method for single image dehazing that exploits a physical model to recover the haze-free image by estimating the atmospheric scattering parameters. Cycle consistency is used to further improve the reconstruction quality of local structures and objects in the scene as well. Experimental results on four real and synthetic hazy image datasets show the effectiveness of the proposed method in terms of two commonly used full-reference image quality metrics.

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An Image Dehazing Algorithm Based on Improved Atmospheric Scattering Model

Journal of Computer-Aided Design & Computer Graphics ◽

10.3724/sp.j.1089.2019.17458 ◽

2019 ◽

Vol 31 (7) ◽

pp. 1148 ◽

Cited By ~ 1

Author(s):

Xinnan Fan ◽

Shuyue Ye ◽

Pengfei Shi ◽

Xuewu Zhang ◽

Jinxiang Ma

Keyword(s):

Image Dehazing ◽

Scattering Model ◽

Atmospheric Scattering ◽

Atmospheric Scattering Model

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Passive Imaging System for Measuring Atmospheric Scattering

10.21236/ada479728 ◽

2008 ◽

Author(s):

Janet Shields

Keyword(s):

Imaging System ◽

Passive Imaging ◽

Atmospheric Scattering

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Improving InSAR elevation models in Antarctica using laser altimetry, accounting for ice motion, orbital errors and atmospheric delays

Remote Sensing of Environment ◽

10.1016/j.rse.2015.01.017 ◽

2015 ◽

Vol 162 ◽

pp. 112-118 ◽

Cited By ~ 4

Author(s):

Yu Zhou ◽

Chunxia Zhou ◽

Fanghui Deng ◽

Dongchen E ◽

Haiyan Liu ◽

...

Keyword(s):

Laser Altimetry ◽

Atmospheric Delays

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Hybrid Integration Method for Sunlight Atmospheric Scattering

IEEE Access ◽

10.1109/access.2021.3063279 ◽

2021 ◽

Vol 9 ◽

pp. 40681-40694

Author(s):

Tomasz Galaj ◽

Filip Pietrusiak ◽

Marek Galewski ◽

Rafal Ledzion ◽

Adam Wojciechowski

Keyword(s):

Integration Method ◽

Hybrid Integration ◽

Atmospheric Scattering

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Impact of Atmospheric Optical Properties on Net Ecosystem Productivity of Peatland in Poland

Remote Sensing ◽

10.3390/rs13112124 ◽

2021 ◽

Vol 13 (11) ◽

pp. 2124

Author(s):

Kamila M. Harenda ◽

Mateusz Samson ◽

Radosław Juszczak ◽

Krzysztof M. Markowicz ◽

Iwona S. Stachlewska ◽

...

Keyword(s):

Optical Properties ◽

Diffuse Radiation ◽

Co2 Uptake ◽

High Carbon ◽

Atmospheric Scattering ◽

Net Productivity ◽

Diffusion Index ◽

Ecosystem Production ◽

The Impact ◽

Global Carbon

Peatlands play an important role in the global carbon cycle due to the high carbon storage in the substrate. Ecosystem production depends, for example, on the solar energy amount that reaches the vegetation, however the diffuse component of this flux can substantially increase ecosystem net productivity. This phenomenon is observed in different ecosystems, but the study of the atmosphere optical properties on peatland production is lacking. In this paper, the presented methodology allowed us to disentangle the diffuse radiation impact on the net ecosystem production (NEP) of Rzecin peatland, Poland. It allowed us to assess the impact of the atmospheric scattering process determined by the aerosol presence in the air mass. An application of atmospheric radiation transfer (ART) and ecosystem production (EP) models showed that the increase of aerosol optical thickness from 0.09 to 0.17 caused NEP to rise by 3.4–5.7%. An increase of the diffusion index (DI) by 0.1 resulted in an NEP increase of 6.1–42.3%, while a DI decrease of 0.1 determined an NEP reduction of −49.0 to −10.5%. These results show that low peatland vegetation responds to changes in light scattering. This phenomenon should be taken into account when calculating the global CO2 uptake estimation of such ecosystems.

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Combined Block Adjustment for Optical Satellite Stereo Imagery Assisted by Spaceborne SAR and Laser Altimetry Data

Remote Sensing ◽

10.3390/rs13163062 ◽

2021 ◽

Vol 13 (16) ◽

pp. 3062

Author(s):

Guo Zhang ◽

Boyang Jiang ◽

Taoyang Wang ◽

Yuanxin Ye ◽

Xin Li

Keyword(s):

Large Scale ◽

Satellite Image ◽

Field Measurements ◽

High Elevation ◽

Global Scale ◽

Stereo Image ◽

Image Process ◽

Control Points ◽

Altimetry Data ◽

Laser Altimetry

To ensure the accuracy of large-scale optical stereo image bundle block adjustment, it is necessary to provide well-distributed ground control points (GCPs) with high accuracy. However, it is difficult to acquire control points through field measurements outside the country. Considering the high planimetric accuracy of spaceborne synthetic aperture radar (SAR) images and the high elevation accuracy of satellite-based laser altimetry data, this paper proposes an adjustment method that combines both as control sources, which can be independent from GCPs. Firstly, the SAR digital orthophoto map (DOM)-based planar control points (PCPs) acquisition is realized by multimodal matching, then the laser altimetry data are filtered to obtain laser altimetry points (LAPs), and finally the optical stereo images’ combined adjustment is conducted. The experimental results of Ziyuan-3 (ZY-3) images prove that this method can achieve an accuracy of 7 m in plane and 3 m in elevation after adjustment without relying on GCPs, which lays the technical foundation for a global-scale satellite image process.

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