Development of a high-resolution aerial remote-sensing system for precision agriculture

Bagheri, Nikrooz

doi:10.1080/01431161.2016.1225182

Cited by 38 publications

(19 citation statements)

References 12 publications

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“…A TETRACAM camera mounted on the UAV system generated high-resolution images for precision agriculture applications with RGB and near infrared (NIR) spectral bands to assess the health of corn [21]. TETRACAM camera generated high-resolution spectral images were used by Nikrooz for precision agriculture applications and RGB and NIR cameras mounted on the UAV system adopted by Doering to assess the health of corn [22]. Laliberte et al, 2011, adopted the object-based image analysis (OBIA) method to monitor and assess the rangeland using ultra-high-resolution multispectral images acquired from a fixed-wing UAV [1].…”

Section: Introductionmentioning

confidence: 99%

Radiometric Calibration for Multispectral Camera of Different Imaging Conditions Mounted on a UAV Platform

et al. 2019

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Unmanned aerial vehicle (UAV) equipped with multispectral cameras for remote sensing (RS) has provided new opportunities for ecological and agricultural related applications for modelling, mapping, and monitoring. However, when the multispectral images are used for the quantitative study, they should be radiometrically calibrated, which accounts for atmospheric and solar conditions by converting the digital number into a unit of scene reflectance that can be directly used in quantitative remote sensing (QRS). Indeed, some of the present applications using multispectral images are processed without precise calibration or with coarse calibration. The radiometric calibration of images from the UAV platform is quite difficult to perform, as the imaging condition is different for every single image. Thus, a standard procedure is necessary for a systematical radiometric calibration method to generate multispectral images with unit reflectance. Further, these images can be used to calculate vegetation indices, which are useful in monitoring vegetation phenology. These vegetation indices are considered as a potential screening tool to know the plant status, such as nitrogen, chlorophyll content, green leaf biomass, etc. This study focuses on a series of radiometric calibrations for multispectral images acquired from different flight altitudes, time instants, and weather conditions. Radiometric calibration for multispectral images is performed using the linear regression method (LRM). The main contribution involves (1) affirming the optimal calibration targets and assessing the atmospheric effects of different flights using the single scene of images; (2) to evaluate the effects of mosaic images with the LRM; (3) to propose and validate a universal calibration equation for the Mini Multiple Camera Array (MCA) 6 camera. The obtained results show that the three calibration targets, such as the dark, moderate, and white, are better for the Mini MCA 6 camera. The atmospheric effects increase with the increase of flight altitudes for each band, and the camera effect is of a fixed number. However, the camera effect and atmospheric attenuation to reflectance from different altitudes were relatively low considering the accuracy assessment. The performance measures namely, mean absolute deviation (indicated as V) and root mean square error (RMSE) between single and mosaic images show that the mosaic will not influence too much reflectance. The LRM performs well in all weather conditions. The universal calibration equation is suitable to apply to the images acquired during a sunny day and even with a little cloud.

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Section: Introductionmentioning

confidence: 99%

Radiometric Calibration for Multispectral Camera of Different Imaging Conditions Mounted on a UAV Platform

et al. 2019

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“…Recently, the UAV remote-sensing (UAV-RS) approach has been frequently reported as advantageous over spaceborne and traditional airborne remote-sensing approaches due to the resultant high temporal and spatial resolution data as well as the survey cost efficiency associated with this approach (Femondimo et al 2011;Müllerová et al 2017;Babapour et al, 2017). Applications of the UAV-RS approach include inter alia agriculture , precision agriculture (Primicerio et al 2012;Gómez-Candón, De Castro, and Lopez-Granados 2014;Rokhmana 2015;Bagheri 2017), land use (Akar 2017), forestry (Thiel and Schmullius 2017;Torrescan et al 2017), archaeology (Rinaudo et al 2012;Fernández-Hernandez González-Aguiler, Rodriguez-Gonzalvez, and Mancera-Taboada 2015), classification of native vegetation (Zhang 2014), and mapping of invasive alien plants (IAPs) (Dvořák et al 2015;Müllerová et al 2016;Hill et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Radiometric calibration framework for ultra-high-resolution UAV-derived orthomosaics for large-scale mapping of invasive alien plants in semi-arid woodlands:Harrisia pomanensisas a case study

Mafanya

Tsele

Botai

et al. 2018

International Journal of Remote Sensing

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Orthomosaics derived from consumer grade digital cameras on board unmanned aerial vehicles (UAVs) are increasingly being used for biodiversity monitoring and remote sensing of the environment. To have lasting quantitative value, remotely sensed imagery should be calibrated to physical units of reflectance. Radiometric calibration improves the quality of raw imagery for consistent quantitative analysis and comparison across different calibrated imagery. Moreover, calibrating remotely sensed imagery to units of reflectance improves its usefulness for deriving quantitative biochemical and biophysical metrics. Notwithstanding the existing radiometric calibration procedures for correcting single images, studies on radiometric calibration of UAV-derived orthomosaics remain scarce. In particular, this study presents a cost-and time-efficient radiometric calibration framework for designing calibration targets, checking scene illumination uniformity, converting orthomosaic digital numbers to units of reflectance, and accuracy assessment using in situ mean reflectance measurements (i.e. the average reflectance in a particular waveband). The empirical line method was adopted for the development of radiometric calibration prediction equations using mean reflectance values measured in only one spot within a 97 ha orthomosaic for three wavebands, i.e. red, green and blue of the Sony NEX-7 camera. A scene illumination uniformity check experiment was conducted to establish whether 10 randomly distributed regions within the orthomosaic experienced similar atmospheric and illumination conditions. This methodological framework was tested in a relatively flat terrain semi-arid woodland that is invaded by Harrisia pomanensis (the Midnight Lady). The scene illumination uniformity check results showed that at a 95% confidence interval, the prediction equations developed using mean reflectance values measured from only one spot within the scene can be used to calibrate the entire 97 ha RGB orthomosaic. Furthermore, the radiometric calibration accuracy assessment results showed a correlation coefficient r value of 0.977 (p < 0.01) between measured and estimated reflectance values with an overall root

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“…Therefore, in this study, the structure was distinguished from the background by performing histogram transformation to measure the response of the tubular level gauge. For the histogram transformation, histogram stretching [38,39] and gamma correction [40,41] of Equation 5were applied. Equation 5 When γ is 1, identity transformation is performed.…”

Section: Image Enhancementmentioning

confidence: 99%

Non-Contact Water Level Response Measurement of a Tubular Level Gauge Using Image Signals

Kim

Park

Jeon

et al. 2020

Sensors

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The occurrence of excessive fluid sloshing during an earthquake can damage structures used to store fluids and can induce secondary disasters, such as environmental destruction and human casualties, due to discharge of the stored fluids. Thus, to prevent such disasters, it is important to accurately predict the sloshing behavior of liquid storage tanks. Tubular level gauges, which visually show the fluid level of a liquid storage tank, are easy to install and economical compared to other water level gauges. They directly show the fluid level and can be applied for various fluids because they can be constructed with various materials according to the fluid characteristics and the intended use. Therefore, in this study, the shaking table test was conducted to verify the validity of the method for measuring the water level response of the tubular level gauge installed on a liquid storage tank using image signals. In addition, image enhancement methods were applied to distinguish between the float installed in the tubular level gauge and the gray level of the background.

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Development of a high-resolution aerial remote-sensing system for precision agriculture

Cited by 38 publications

References 12 publications

Radiometric Calibration for Multispectral Camera of Different Imaging Conditions Mounted on a UAV Platform

Radiometric Calibration for Multispectral Camera of Different Imaging Conditions Mounted on a UAV Platform

Radiometric calibration framework for ultra-high-resolution UAV-derived orthomosaics for large-scale mapping of invasive alien plants in semi-arid woodlands:Harrisia pomanensisas a case study

Non-Contact Water Level Response Measurement of a Tubular Level Gauge Using Image Signals

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