Specular reflection removal of ocean surface remote sensing images from UAVs

Wang, Shengke; Yu, Changyin; Sun, Yongrong; Gao, Feng; Dong, Junyu

doi:10.1007/s11042-017-5551-7

Cited by 13 publications

(10 citation statements)

References 28 publications

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“…Nonetheless, 0.02–0.05 m 3D position precision has been shown to be obtainable (Brunier et al, ; Ferreira et al, ; Jaud et al, ; Papakonstantinou et al, ; Pikelj et al, ; Rupnik et al, ; Smith, ; Srokosz & Longuet‐Higgins, ; Wang et al, ). With that precision and repeated high resolution (0.05 m) surveys low‐textural contrast and sun glint problems can be mitigated to reveal hitherto un‐quantifiable inter‐tidal morphodynamics of mudflats, sand beaches and gravel beaches, via orthophotographs and differenced DEMs (Ferreira et al, ; Smith, ; Wang et al, ). The problem of the time required to deploy, survey and collect GCPs versus the time available between successive tides as reported by Jaud et al () appears to have been mitigated by a direct georeferencing approach (see change detection section) by Jaud et al ().…”

Section: Applications In Aquatic Sciencesmentioning

confidence: 99%

“…However, exploitation of one of these surface properties requires mitigating issues due to the other two. For example, Wang, Yu, Sun, Gao, and Dong (2018) have recently presented a two-stage method for dealing with specular reflection in UAV imagery; they firstly detect regions of images affected by specular reflection using an intensity ratio and secondly they restore those regions based on local cell/pixel information.…”

Section: Water Surface Structure and Hydraulicsmentioning

confidence: 99%

“…In these settings sub-optimal survey conditions persist due to flight plan constraints, GPS measurement errors, sub-optimal distribution of GCPs and complex terrain that is often wet with residual tidal water. Nonetheless, 0.02-0.05 m 3D position precision has been shown to be obtainable (Brunier et al, 2016;Ferreira et al, 2017;Jaud et al, 2016;Papakonstantinou et al, 2017;Pikelj et al, 2018;Rupnik et al, 2015;Srokosz & Longuet-Higgins, 1986;Wang et al, 2018). With that precision and repeated high resolution (0.05 m) surveys low-textural contrast and sun glint problems can be mitigated to reveal hitherto un-quantifiable inter-tidal morphodynamics of mudflats, sand beaches and gravel beaches, via orthophotographs and differenced DEMs (Ferreira et al, 2017;Wang et al, 2018).…”

Section: Inter-tidal Topographymentioning

confidence: 99%

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Fluvial and aquatic applications of Structure from Motion photogrammetry and unmanned aerial vehicle/drone technology

Carrivick

Smith

2018

WIREs Water

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Structure from motion (SfM) has seen rapid uptake recently in the fluvial and aquatic sciences. This uptake is not least due to the widespread availability of cheap unmanned aerial vehicles/drones, which help mitigate the challenging terrain and deliver efficient and reproducible and high‐accuracy images and topographical data. These data can have unprecedented spatio‐temporal coverage and includes measurements of fluvial and aquatic topography, hydraulics, geomorphology and habitat quality. SfM data also offer novel quantification of underwater archeology, structures and aquatic organisms. Studies are shifting from proof‐of‐concepts in topographic survey to genuine applications including grain‐size mapping, bathymetric surveys, geomorphological mapping, vegetation mapping, restoration monitoring, habitat classification, geomorphological change detection and sediment transport path delineation. Integrating point cloud analyses and orthophoto mosaics with digital elevation models has been shown to be effective in providing novel process understanding of fluvial and aquatic systems. Underwater and through‐water studies are beginning to overcome problems of accessibility, visibility and image distortion. Archival photographs and video (both above‐ and under‐water) are being reprocessed using a SfM workflow to generate three‐dimensional surfaces and objects from historical surveys, thereby extending the time period over which change can be detected. Recently, a SfM workflow has been developed to model free water surfaces with clear potential for future exploitation in hydraulics, sediment transport and river bed evolution studies. Future applications of SfM could seek to exploit the daily repeat coverage of high‐resolution satellite images but must be mindful of the necessary investment in this development versus the increasing availability and coverage of spaceborne light detection and ranging. This article is categorized under: Water and Life > Methods Science of Water > Methods Water and Life > Nature of Freshwater Ecosystems

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Section: Applications In Aquatic Sciencesmentioning

confidence: 99%

Section: Water Surface Structure and Hydraulicsmentioning

confidence: 99%

Section: Inter-tidal Topographymentioning

confidence: 99%

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Fluvial and aquatic applications of Structure from Motion photogrammetry and unmanned aerial vehicle/drone technology

Carrivick

Smith

2018

WIREs Water

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“…When the specular reflection is eliminated, the chlorophyll inversion accuracy is improved. Wang et al [46] removed the specular reflection by identifying the highlight area, removing the highlight area and complementing it with surrounding information. Some scholars proposed to use wavelet transform to remove specular reflection components in remote sensing images, and it has been proved that wavelet transform is indeed effective for removing specular reflection [47,48].…”

Section: Introductionmentioning

confidence: 99%

A New Polarization-Based Vegetation Index to Improve the Accuracy of Vegetation Health Detection by Eliminating Specular Reflection of Vegetation

Jiao

Chen

et al. 2022

IEEE Trans. Geosci. Remote Sensing

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Monitoring chlorophyll content changes in the plant via remote sensing is of great significance for understanding plant growth, monitoring vegetation pests and diseases, which is an important method to study the global climate change. However, the monitored information is often interfered by leaf specular reflection, resulting in reduced accuracy of chlorophyll content inversion. In this article, to eliminate the interference of specular reflection in vegetation remote sensing, a polarized multispectral imaging system (PMSIS) used in the different-lightlevel situation to observe vegetation was developed, and a new specular reflection removal vegetation index (NSRVI) was proposed to better detect the vegetation health condition under specular reflection interference. Based on previous studies, several vegetation indices (Simple ratio index (SR), Normalized difference vegetation index (NDVI); mSR, mNDVI (ref. [41]); pSR, pNDVI (ref. [46]); and NSRVI) were established, and the impact of specular reflection on vegetation health detection was evaluated. Correlation analysis was done on Relative Chlorophyll content (SPAD), SR, NDVI, mSR, mNDVI, pSR, pNDVI and NSRVI to understand their potential ability to eliminate specular interference. The results show that SR and NDVI have the highest sensitivity to specular reflection, and the other three methods can alleviate the adverse effects of specular reflection to varying degrees. It was observed that NSRVI was well correlated with SPAD (coefficient of determination (R 2 ) = 0.899, RMSE=6.16), highlighting the potential of NRSVI in eliminating specular reflection interference and identifying vegetation health condition. In summary, this method can effectively eliminate specular interference and improve the detection accuracy of vegetation health condition.

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“…Generally, the objective of formation control of multiple UAVs is to design distributed controllers according to the operation tasks of the UAVs to achieve and to maintain a desired geometric structure or pattern. With the rapid development of network technology, the applications of formation control of the multiple UAVs formation control cover in both military and civilian fields (Otto et al, 2018), for example, environmental monitoring (Turner et al, 2018), marine monitoring (Bhardwaj et al, 2016; Wang et al, 2018), target surveillance (Capitan et al, 2016; Chen et al, 2019), agriculture applications (Rezaee and Abdollahi, 2013), forestry applications (Torresan et al, 2017), and so on.…”

Section: Introductionmentioning

confidence: 99%

Model decomposition-based optimal formation control for multiple unmanned aerial vehicles

Shehzad

Tang

et al. 2021

Transactions of the Institute of Measurement and Control

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This paper deals with the optimal formation control problem based on model decomposition for multiple unmanned aerial vehicles (UAVs). The main contribution of this paper is to integrate the formation control and the trajectory tracking into one unified feedforward control and feedback control framework in an optimal mode. We first establish the dynamic model of the leader-follower UAV formation system, and the communication network topology which only depends on the position information given by the leader. Second, to reduce the complexity of the model, each follower is decomposed into three isolated subsystems. Third, a step-by-step formation controller design scheme decomposed into feedforward control and optimal control of formation control is proposed. Finally, the proposed scheme has been extensively simulated and the results demonstrate the stability and the optimality.

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Specular reflection removal of ocean surface remote sensing images from UAVs

Cited by 13 publications

References 28 publications

Fluvial and aquatic applications of Structure from Motion photogrammetry and unmanned aerial vehicle/drone technology

Fluvial and aquatic applications of Structure from Motion photogrammetry and unmanned aerial vehicle/drone technology

A New Polarization-Based Vegetation Index to Improve the Accuracy of Vegetation Health Detection by Eliminating Specular Reflection of Vegetation

Model decomposition-based optimal formation control for multiple unmanned aerial vehicles

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