The influence of atmospheric light scattering on reflectance measurements during photogrammetric survey flights at low altitudes over forest areas

Mazur, Anna; Kacprzak, Mariusz; Kubiak, Katarzyna; Kotlarz, Jan; Skocki, K.

doi:10.2478/frp-2018-0007

Cited by 4 publications

(3 citation statements)

References 20 publications

(2 reference statements)

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“…Also, the highest amount of water vapour in the atmosphere is at the Earth's surface, and decreases with altitude. For example, at the height of 1500 m, the average concentration of water vapour is 50% lower than at the Earth's surface, and at the height of 5000 m, the content is already ten times lower [2,3]. Under such conditions, radiation passing through the atmosphere is absorbed and dispersed by suspensions of small water molecules.…”

Section: Introductionmentioning

confidence: 99%

A Method for Dehazing Images Obtained from Low Altitudes during High-Pressure Fronts

Wierzbicki¹,

Kędzierski²,

Sekrecka³

2019

Remote Sensing

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Unmanned aerial vehicles (UAVs) equipped with compact digital cameras and multi-spectral sensors are used in remote sensing applications and environmental studies. Recently, due to the reduction of costs of these types of system, the increase in their reliability, and the possibility of image acquisition with very high spatial resolution, low altitudes imaging is used in many qualitative and quantitative analyses in remote sensing. Also, there has been an enormous development in the processing of images obtained with UAV platforms. Until now, research on UAV imaging has focused mainly on aspects of geometric and partially radiometric correction. And consideration of the effects of low atmosphere and haze on images has so far been neglected due to the low operating altitudes of UAVs. However, it proved to be the case that the path of sunlight passing through various layers of the low atmosphere causes refraction and causes incorrect registration of reflection by the imaging sensor. Images obtained from low altitudes may be degraded due to the scattering process caused by fog and weather conditions. These negative atmospheric factors cause a reduction in contrast and colour reproduction in the image, thereby reducing its radiometric quality. This paper presents a method of dehazing images acquired with UAV platforms. As part of the research, a methodology for imagery acquisition from a low altitude was introduced, and methods of atmospheric calibration based on the atmosphere scattering model were presented. Moreover, a modified dehazing model using Wiener's adaptive filter was presented. The accuracy assessment of the proposed dehazing method was made using qualitative indices such as structural similarity (SSIM), peak signal to noise ratio (PSNR), root mean square error (RMSE), Correlation Coefficient, Universal Image Quality Index (Q index) and Entropy. The experimental results showed that using the proposed dehazing method allowed the removal of the negative impact of haze and improved image quality, based on the PSNR index, even by an average of 34% compared to other similar methods. The obtained results show that our approach allows processing of the images to remove the negative impact of the low atmosphere. Thanks to this technique, it is possible to obtain a dehazing effect on images acquired at high humidity and radiation fog. The results from this study can provide better quality images for remote sensing analysis.

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Section: Introductionmentioning

confidence: 99%

A Method for Dehazing Images Obtained from Low Altitudes during High-Pressure Fronts

Wierzbicki¹,

Kędzierski²,

Sekrecka³

2019

Remote Sensing

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“…In order to avoid similar problems in subsequent missions, it was decided to perform additional tests of devices in the cryochamber and to undertake a series of intensive tests of the efficiency of several types of batteries for extreme temperatures down to -60°C. The goal of such tests would be determining the electrical parameters of battery or battery packs, with and without radiators, during their operation in changing environmental conditions [15].…”

Section: Initial Assumptions and Implementation Of The Missionmentioning

confidence: 99%

Preparation and Implementation of a Test Flight of Lightweight, Unmanned Stratospheric Balloon with Gopro Camera Mounted and Analysis of Acquired Material

Skoneczny

2019

Transactions on Aerospace Research

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Publication contains a description of the preparation and the implementation of a test flight of a stratospheric balloon with a mounted camera GoPro Hero3. Description includes: used equipment, its parameters, role in the success of the mission and the difficulties and limitations that the project team encountered during the preparation and implementation of the flight. The mission was attended by a team of six engineers and scientists from the Remote Sensing Division, who were also involved in the implementation of the HESOFF project. One of the main goals of the HESOFF project was to obtain aerial images on the Krotoszyńska Plate (woj. wielkopolskie) using the Unmanned Aerial Vehicle (UAV) and to carry out remote monitoring of oak stands. The primary goal of an experimental balloon flight was to check the technical operational capability and gain experience in planning and implementing this type of project. During the balloon raising, the video material was acquired in the form of a recording, which later was analyzed. On the basis of the collected information, the conclusions regarding the possibility of implementing a long endurance flight in the stratosphere, illustrating (using a multisensor platform) research surfaces of the HESOFF project were presented. The stages of implementation of the presented mission were divided into following parts: preparation of the flight with the completion of equipment and necessary documents (flight permission), proper flight realization, understood as the release of the balloon and identification of the place where the equipment landed, as well as analysis and presentation of the results.

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“…Performance testing of the system of dehazing suggested had been performed by only using subjective metrics like the SSIM, PSNR, RMS, normalized crosscorrelation, Universal Image Quality Index, the root mean square error (RMSE). Investigations showed that utilizing the dehazing algorithm, could minimize the adverse effects of haze and enhance the quality of aerial imagery dependent on the PSNR scale [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Aerial Vehicle Remote Sensing and Surveillance System, Dehazing Technique Using Modified Dark Channel Prior

Khudair¹,

Alawsi²,

Al-Dergazly³

et al. 2020

Adv. sci. technol. eng. syst. j.

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After studying the aviation problems in Iraq, on one hand, and because Iraq has various weather characteristics due to its different terrains (i.e. mountains, plain fields, and deserts). We discussed these problems with pilots and aviation specialists, and came to the conclusion that the main offset faced is vision deficiency is foggy and dusty weather. Thus, the Iraqi aviation reconnaissance system was developed to overcome this hurdle by implementing instant image rendering by developing this technology to remove fog and such hazy particles utilizing dark channel prior (DCP) image processing algorithm since this method is highly capable of resolving the fog/haze weather condition problems. The DCP algorithm suggested showed a reasonable enhancement of the images with foggy, hazy, and dusty conditions when the Unmanned Aerial Vehicle (UAV) was used to capture images at various altitudes correspondent to the same height most helicopters and reconnaissance UAVs fly at. Our main contribution is based on the evaluation of optimal values of DCP parameters/metrics to the hazy images and performs UAV image dehazing and enhancement.

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The influence of atmospheric light scattering on reflectance measurements during photogrammetric survey flights at low altitudes over forest areas

Cited by 4 publications

References 20 publications

A Method for Dehazing Images Obtained from Low Altitudes during High-Pressure Fronts

A Method for Dehazing Images Obtained from Low Altitudes during High-Pressure Fronts

Preparation and Implementation of a Test Flight of Lightweight, Unmanned Stratospheric Balloon with Gopro Camera Mounted and Analysis of Acquired Material

Design and Implementation of Aerial Vehicle Remote Sensing and Surveillance System, Dehazing Technique Using Modified Dark Channel Prior

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