Fusion rules and image enhancement of unmanned aerial vehicle remote sensing imagery for ecological canal data extraction

Zhang, Zichao; Yu, Han; Chen, Jian; Yi, Cao; Wang, Shubo; Wang, Guangqi; Du, Nan

doi:10.5004/dwt.2019.24254

Cited by 6 publications

(4 citation statements)

References 36 publications

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“…In the study [8], the authors conducted a number of UAV inspections to determine the deformation state of the floating cover over WWTP bioreactors in Australia, identifying a number of advantages over contact methods. In the study [10], the authors used multispectral data from UAVs as a decision-making tool to improve irrigation management in China. In [11], UAV technology was investigated in the context of reducing maintenance costs of wastewater treatment facilities.…”

Section: Uav Applications In Wastewater Treatment Plantsmentioning

confidence: 99%

“…This solution seems to be interesting from the point of view of identifying the operating conditions of a WWTP, which in turn, could enable a rapid assessment of the conditions that occur in the individual compartments of a bioreactor. This problem has not yet been analysed on a larger scale, which is interesting given the relatively high agreement of the measurement results using spectral images [10].…”

Section: Introductionmentioning

confidence: 99%

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Application of Multispectral Images from Unmanned Aerial Vehicles to Analyze Operations of a Wastewater Treatment Plant

2023

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The main task of a wastewater treatment plant (WWTP) is to reduce pollutants that adversely affect the receiving environment in which the effluent is discharged. The operation of a WWTP is a complex task due to the number of different processes that take place in its process facilities. In order to maintain the high efficiency of a WWTP, it is necessary to control the quality of the effluent at the outlet and monitor the processes taking place there. The main objective of the research presented in this study was to evaluate the possibility of using unmanned aerial vehicle (UAV) technology and multispectral images acquired with a Micasense Red-Edge MX camera to analyse the performance of an activated sludge bioreactor using the example of a municipal WWTP in Poland. Remote sensing analyses were carried out to check the relationships between the calculated spectral indices and the quality parameters in the bioreactor. The spectral indices assessed were the normalised difference vegetation index (NDVI), green normalised difference vegetation index (GNDVI), optimised soil adjusted vegetation index (OSAVI), and their derived indices, after substitution of the red or near-infrared channel with the red edge channel. In this study, the sensitivity of the NDVI and GNDVIRED-EDGE indexes to changes in the nutrient content (NUC) of the bioreactor was observed. The presented research may find application in the design of a new soft sensor for monitoring the operating conditions of wastewater treatment plants.

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Section: Uav Applications In Wastewater Treatment Plantsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Multispectral Images from Unmanned Aerial Vehicles to Analyze Operations of a Wastewater Treatment Plant

2023

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“…The Aerial vehicle remote sensing imagery for ecological canal data [30] Canal system in Hetao irrigation area…”

Section: Integration Of Multiple Streamflow Readingsmentioning

confidence: 99%

IPFS and Blockchain Based Reliability and Availability Improvement for Integrated Rivers’ Streamflow Data

et al. 2022

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The streamflow data acquisition with various techniques and dispersing of River's locations demand improvement of reliability and frequency aspects. One of the reliability measurement characteristics is data ownership. The authority sharing data authorizes its quality and is also responsible for the wrong decision triggered by incorrect data. The consensus-based crowdsourcing data contribute to aggregated streamflow records' generation. The aggregated streamflow records are stored on a streamflow ledger, a Hyperledger fabric-based ledger for rivers' streamflow data. In contrast, InterPlanery File System(IPFS) distributed file storage system is helpful for policy documents and distribution scheme storage. Blockchainbased techniques for improvement of data-intensive decision support systems. The distributed river streamflow data measured and shared by distributed gauging officials and stored on the blockchain-based distributed storage system contributes to scalability, transparency, availability, and accessibility of shareable data. All stakeholders require quality data with trust and provenance management through a persistent, linked, and immutable copy of data. This technique resolves the conflict or disagreement on streamflow optimization and flood mitigation decisions. In a nutshell, the blockchain technology with IPFS for offchain large files storage would contribute twofold to irrigation systems and flood mitigation domains. On one side, the streamflow data aggregation has consensus from streamflow assessment for software agents and stakeholders. Secondly, the persistent data copy is shared among distributed stakeholders using IPFS-based content addressed file-sharing protocol for a common operating picture to improve effective collaboration and coordination among managers of irrigation systems and flood mitigation activities.

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“…This method retained the hardware conditions and achieved the goal of obtaining high-quality 3D point cloud. In the future, for the perception of precision agriculture, we will continue to explore the agricultural research and application along the idea of biomimetic visual system [40][41][42].…”

Section: The 3d Point Cloud Reconstruction Of Orchardmentioning

confidence: 99%

Hawk‐eye‐inspired perception algorithm of stereo vision for obtaining orchard 3D point cloud navigation map

Zhang

Chen

et al. 2022

CAAI Trans on Intel Tech

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The binocular stereo vision is the lowest cost sensor for obtaining 3D information. Considering the weakness of long-distance measurement and stability, the improvement of accuracy and stability of stereo vision is urgently required for application of precision agriculture. To address the challenges of stereo vision long-distance measurement and stable perception without hardware upgrade, inspired by hawk eyes, higher resolution perception and the adaptive HDR (High Dynamic Range) were introduced in this paper. Simulating the function from physiological structure of 'deep fovea' and 'shallow fovea' of hawk eye, the higher resolution reconstruction method in this paper was aimed at accuracy improving. Inspired by adjustment of pupils, the adaptive HDR method was proposed for high dynamic range optimisation and stable perception. In various light conditions, compared with default stereo vision, the accuracy of proposed algorithm was improved by 28.0% evaluated by error ratio, and the stability was improved by 26.56% by disparity accuracy. For fixed distance measurement, the maximum improvement was 78.6% by standard deviation. Based on the hawk-eye-inspired perception algorithm, the point cloud of orchard was improved both in quality and quantity. The hawk-eye-inspired perception algorithm contributed great advance in binocular 3D point cloud reconstruction in orchard navigation map. K E Y W O R D S adaptive high dynamic range, binocular stereo vision, hawk-eye-inspired perception, point cloud of orchard, super-resolution generative adversarial network 1 | INTRODUCTION Precision agriculture needs accurate perception. In orchard automation agricultural production, accurate and stable 3D navigation map is the basis of UAV and unmanned vehicle operation [1]. Agricultural production is very sensitive to the cost. Binocular stereo vision has advantages over other sensors because of low cost, high sampling frequency, large amount of data obtaining ability, low-power consumption, and light weight, which is widely used in the all-production links in smart agriculture [2, 3]. However, in most condition of agricultural outdoor working environment, optical sensors and This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Fusion rules and image enhancement of unmanned aerial vehicle remote sensing imagery for ecological canal data extraction

Cited by 6 publications

References 36 publications

Application of Multispectral Images from Unmanned Aerial Vehicles to Analyze Operations of a Wastewater Treatment Plant

Application of Multispectral Images from Unmanned Aerial Vehicles to Analyze Operations of a Wastewater Treatment Plant

IPFS and Blockchain Based Reliability and Availability Improvement for Integrated Rivers’ Streamflow Data

Hawk‐eye‐inspired perception algorithm of stereo vision for obtaining orchard 3D point cloud navigation map

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