scholarly journals Revisiting the digital noise reduction in automatic contouring of “ice-water” objects

2020 ◽  
Vol 66 (1) ◽  
pp. 102-114
Author(s):  
K. N. Zvyagin ◽  
D. D. Maltsev
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Aerial Photography ◽  
Noise Suppression ◽  
Structural Features ◽  
Image Noise ◽  
Practical Implementation ◽  
Haar Wavelet Transform ◽  
Northern Sea Route ◽  
Aerial Vehicle ◽  
Ice Water

This work describes the practical implementation of the method for digital noise suppression during processing images containing ice information to recognize automatically the contours of «ice-water» objects during aerial photography. Images containing ice information have special characteristic structural features related to noise, e.g.granularity, glare, ice crumbs. This makes difficult or even impossible to recognize automatically the contours of ice-water objects. It is known that the success of the application of edge recognition methods depends on how much image noise is reduced. The paper discusses the construction method for the management of noise. The method is based on the sequential application of the Haar wavelet transform denoising using thresholding, clustering by k-means method. For the subsequent automatic construction of ice floes contours the Sobel operator is applied.The aim of the work is to develop a method capable to process digital images effectively that contain ice information with strong digital noise. In this work we treated the images of one-year ice containing strong digital image noise in the form of granularity and in the form of ice crumbs. A description of the features of each of the steps of the proposed method and practical application is given.As a result, the method was developed for processing images of ice information containing digital noise in absolute value commensurate with the basic data. It was noted that the use of the k-means method expands the scope. The k-rare method allows more detailed processing of ice information and distinguishes not only the contours of ice-water objects, but also the contours of ice crumbs.The conclusion formulates the main advantages of the method and the possible application of the algorithm in the process of local exploration of the ice conditions of the Northern Sea Route channel using unmanned aerial vehicle for aerial photography. The usage of unmanned aerial vehicle for aerial photography will increase the frequency of weather forecast updates and predict the appearance of ice objects at the ship’s heading. That will allow us to select the safest and most economical efficient route along the Northern Sea Route.The authors have no competing interests.

scholarly journals Analysis Of Aerial Photography With Drone Type Fixed Wing In Kotabaru, Lampung

2018 ◽  
Vol 2 (1) ◽  
pp. 102-107
Author(s):  
Indreswari Suroso ◽  
Erwhin Irmawan
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Aerial Photography ◽  
Ground Level ◽  
Aerial Photographs ◽  
Aerial Photos ◽  
Above Ground Level ◽  
The World ◽  
Air Capture ◽  
Aerial Vehicle ◽  
Operational Time

In the world of photography is very closely related to the unmanned aerial vehicle called drones. Drones mounted camera so that the plane is pilot controlled from the mainland. Photography results were seen by the pilot after the drone aircraft landed. Drones are unmanned drones that are controlled remotely. Unmanned Aerial Vehicle (UAV), is a flying machine that operates with remote control by the pilot. Methode for this research are preparation assembly of drone, planning altitude flying, testing on ground, camera of calibration, air capture, result of aerial photos and analysis of result aerial photos. There are two types of drones, multicopter and fixed wing. Fixed wing  has an airplane like shape with a wing system. Fixed wing use bettery 4000 mAh . Fixed wing drone in this research used   mapping in  This drone has a load ability of 1 kg and operational time is used approximately 30 minutes for an areas 20 to 50 hectares with a height of 100 m  to 200 m and payload 1 kg  above ground level. The aerial photographs in Kotabaru produce excellent aerial photographs that can help mapping the local government in the Kotabaru region.

scholarly journals Quantitative Identification of Maize Lodging-Causing Feature Factors Using Unmanned Aerial Vehicle Images and a Nomogram Computation

2018 ◽  
Vol 10 (10) ◽  
pp. 1528 ◽  
Author(s):  
Liang Han ◽  
Guijun Yang ◽  
Haikuan Feng ◽  
Chengquan Zhou ◽  
Hao Yang ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Spectral Characteristics ◽  
Canopy Structure ◽  
Canopy Cover ◽  
Structural Features ◽  
Discrimination Ability ◽  
Maize Varieties ◽  
Aerial Vehicle

Maize (zee mays L.) is one of the most important grain crops in China. Lodging is a natural disaster that can cause significant yield losses and threaten food security. Lodging identification and analysis contributes to evaluate disaster losses and cultivates lodging-resistant maize varieties. In this study, we collected visible and multispectral images with an unmanned aerial vehicle (UAV), and introduce a comprehensive methodology and workflow to extract lodging features from UAV imagery. We use statistical methods to screen several potential feature factors (e.g., texture, canopy structure, spectral characteristics, and terrain), and construct two nomograms (i.e., Model-1 and Model-2) with better validation performance based on selected feature factors. Model-2 was superior to Model-1 in term of its discrimination ability, but had an over-fitting phenomenon when the predicted probability of lodging went from 0.2 to 0.4. The results show that the nomogram could not only predict the occurrence probability of lodging, but also explore the underlying association between maize lodging and the selected feature factors. Compared with spectral features, terrain features, texture features, canopy cover, and genetic background, canopy structural features were more conclusive in discriminating whether maize lodging occurs at the plot scale. Using nomogram analysis, we identified protective factors (i.e., normalized difference vegetation index, NDVI and canopy elevation relief ratio, CRR) and risk factors (i.e., Hcv1) related to maize lodging, and also found a problem of terrain spatial variability that is easily overlooked in lodging-resistant breeding trials.

scholarly journals COMPARATIVE EVALUATION EFFICIENCY OF MOBILE LASER SCANNING AND AERIAL SURVEYING FROM UNMANNED AERIAL VEHICLES FOR ROAD SURVEY

2021 ◽  
Vol 26 (3) ◽  
pp. 20-27
Author(s):  
Mikhail Y. Bryn ◽  
◽  
Dinara R. Bashirova ◽  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Aerial Photography ◽  
Laser Scanning ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Road Survey ◽  
The Cost ◽  
Scanning Systems ◽  
Practical Recommendations

The application of mobile laser scanning and aerial photography from unmanned aerial vehicles for shooting highways is considered. The aim of the research was to compare the results of shooting using mobile laser scanning systems and aerial photography from an unmanned aerial vehicle to de-termine the preferred option for shooting a highway. The experimental part of the research was carried out using the following equipment: scanning was performed using the Topcon IP - S2 Compact sys-tem, aerial photography was carried out from the GEOSCAN 201 unmanned aerial vehicle. Based on the comparative tests performed on the section of the A - 121 "Sortavala" highway, a comparative analysis of the data obtained for various indicators was carried out: the speed of the shooting stages, the cost of a set of equipment, the cost of shooting, and the accuracy of the results was evaluated. Practical recommendations for the application of these methods are given, their advantages and disad-vantages are indicated.

scholarly journals Optimalisasi Foto Udara Unmanned Aerial Vehicle (UAV) Sebagai Media Pembelajaran Penginderaan Jauh

2019 ◽  
Vol 8 (1) ◽  
pp. 45
Author(s):  
Kristhoper Simanungkalit ◽  
Muhammad Ridha Syafii Damanik ◽  
Darwin Parlaungan Lubis
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicle ◽  
Aerial Photography ◽  
Student Response ◽  
Aerial Photographs ◽  
Aerial Image ◽  
Distortion Factor ◽  
Student Responses ◽  
Assessment Score ◽  
Aerial Vehicle

AbstractThis study aims (1) To find out how the accuracy of Unmanned Aerial Vehicle (UAV) aerial image quality using the Omission-Commission method. (2) How to use UAV aerial imagery as remote sensing learning media when viewed from the aspects of media feasibility, material worthiness, and student response. This research was conducted at the Medan State University Campus located at Jalan William Iskandar, Pasar V, Medan Estate Village, Medan North Sumatra. This location was chosen based on strategic location considerations for mapping. The results of this study indicate that the quality of the level of precision aerial photographs obtained from aerial photography results in the level of precision aerial photographs reaching above 95% with excellent categories, and aerial photographs obtained are more inclined towards omission which is influenced by the camera distortion factor , and the feasibility of UAV aerial photography learning media in terms of the aspects of the feasibility of the media achieving an assessment score of 85%, the feasibility aspects of the Material achieving an assessment score of 85% and, the results of the feasibility of instructional media based on material experts and media experts reach a score level of 85% and deserve to be used as a medium learning. The results of student responses obtained received an 89% assessment score, which results from the assessment of student responses that have been said to be good.Keywords: UAV, Remote Sensing, Unimed, Learning Media AbstrakPenelitian ini bertujuan (1) Untuk mengetahui bagaimana kualitas akurasi citra foto udara Unmanned Aerial Vehicle (UAV) dengan menggunakan metode Omisi-Komisi. (2) Bagaimana pemanfaatan citra foto udara UAV sebagai media pembelajaran penginderaan jauh bila di lihat dari aspek kelayakan media, kelayakan materi, dan respon mahasiswa. Penelitian ini dilaksanakan di Kampus Universitas Negeri Medan terletak di Jalan William Iskandar, Pasar V, Kelurahan Medan Estate, Medan Sumatera Utara. Lokasi ini dipilih atas pertimbangan lokasi yang strategis untuk melakukan pemetaan. Hasil penelitian ini menunjukkan bahwa Kualitas tingkat presisi foto udara yang didapatkan dari hasil pemotretan foto udara menghasilkan tingkat presisi foto udara mencapai diatas 95% dengan kategori sangat baik, dan foto udara yang didapatkan lebih condong ke arah omisi yang mana hal ini dipengaruhi oleh faktor distorsi kamera, dan Kelayakan media pembelajaran foto udara UAV ditinjau dari aspek kelayakan Media mencapai skor penilaian 85%, Aspek kelayakan Materi mencapai  skor penilaian 85% dan, hasil dari kelayakan media pembelajaran berdasarkan ahli materi dan ahli media mencapai tingkat skor 85% dan layak dijadikan sebagai media pembelajaran. hasil respon mahasiswa yang didapatkan mendapat skor penilaian 89% yang mana hasil dari penilaian respon mahasiswa sudah dikatakan bagus.Kata Kunci: UAV, Penginderaan Jauh, Unimed, Media Pembelajaran

scholarly journals DIPOLE ANTENNA WITH CIRCULAR RADIATION PATTERN IN THE E-PLANE FOR VALIDATION THE INTEGRITY OF THE AIRCRAFT LANDING SYSTEMS INFORMATION

2020 ◽  
Vol 20 (4) ◽  
pp. 31-43
Author(s):  
V.V. Voitovich ◽  
◽  
Yu.V. Petrash ◽  
M.M. Belousov ◽  
E.M. Yungaitis ◽  
...  
Keyword(s):  
Radiation Pattern ◽  
Unmanned Aerial Vehicle ◽  
Free Space ◽  
Horizontal Plane ◽  
Dipole Antenna ◽  
Practical Implementation ◽  
Horizontal Polarization ◽  
Aircraft Landing ◽  
Minimum Number ◽  
Aerial Vehicle

The paper presents the results of studies of an omnidirectional dipole antenna designed for installation on an unmanned aerial vehicle of the mini-UAV category. The antenna forms a cir-cular radiation pattern in the horizontal plane with horizontal polarization of the radiated field. Irregularity of the radiation pattern of the antenna under study in free space in the horizontal plane is ±0.2 dB. The antenna contains a minimum number of elements of the feeder path. It has convenient for practical implementation design

scholarly journals On the question of the main elements of precision agriculture in Kostanay region on the example of LLP “Agricultural Experimental Station “Zarechnoye”

2021 ◽  
Vol 211 (08) ◽  
pp. 11-17
Author(s):  
D. Zhamalova ◽  
Marat Tashmuhamedov
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Precision Agriculture ◽  
Aerial Photography ◽  
Crop Production ◽  
Near Infrared ◽  
Agricultural Land ◽  
The State ◽  
Technical Program ◽  
Aerial Vehicle ◽  
Program Transfer

Abstract. The purpose of the research is to analyze the quality of sowing operations (flaws, sifting), the completeness of seedlings based on multispectral images. The research was carried out in accordance with the purpose of implementing the scientific and technical program “Transfer and adaptation of precision farming technologies in the production of crop production on the principle of "demonstration farms (landfills)” in Kostanay region" in 2019. Methods. To perform monitoring work, an unmanned aerial vehicle of an airplane type was used; a multispectral (MS) camera equipped with sensors of the main channels. Agrotechnical requirements have been developed taking into account the data of the electronic map of fields and the specifics of the region. The analysis of the state of crops using an information and analytical resource was carried out. Results. A survey of agricultural crops was conducted in order to obtain data on the state of the fields by an unmanned aerial vehicle. Aerial photography was performed with the Make sense Red-Edge multispectral camera at an altitude of 300 meters. The survey was carried out over 19 fields in five spectral ranges: blue, green, red, extreme red, near infrared. Aerial photography data are the initial data for the construction of orthophotoplanes, digital surface models, 3D-models. After conducting a flyby of the territory, the general condition of agricultural land was analyzed. Measurements are made on the reference fields using a portable device – an N-tester. The scientific novelty lies in the fact that aerial photography of spring wheat, which is at the stage of 3–4 leaves, was carried out, which revealed changes in the NDVI value, which during the ground survey confirmed an increase in the degree of clogging by annual millet weeds of the selected areas.

scholarly journals Pesawat Udara Nir Awak (Uav) Untuk Penyediaan Data Spasial Bidang Tanah Di Kawasan Rawan Bencana

2019 ◽  
Vol 5 (2) ◽  
pp. 271-281
Author(s):  
Ardhi Arnanto ◽  
Estuning Tyas Wulan Mei ◽  
Dyah Rahmawati Hizbaron ◽  
Westi Utami
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Potential Risk ◽  
Spatial Data ◽  
Aerial Photography ◽  
Paddy Field ◽  
Aerial Vehicle ◽  
Interpretation Method

Abstract: The increased disaster events in the last ten years warns all stakeholders about potential hazards. Potential risk to land assets due to disaster affects the needs of fast and accurate land data that only 65% mapped. This study aims to establish an interpretation method and mapping of paddy field using unmanned aerial vehicle (UAV). The research uses interpretation method by evidence convergence approach. The result shows that the value of accuracy above the tolerance value, 93.13% for landuse interpretation and 84,21% for land parcel booundary interpretation. It means that the small format aerial photography derived from drone can be used to provide quick and accurate spatial data on paddy field land parcel identification.Intisari: Peningkatan bencana dalam sepuluh tahun terakhir memberikan peringatan kepada semua pemangku kepentingan akan potensi bahaya. Potensi risiko terhadap aset-aset lahan yang disebabkan oleh dampak bencana membutuhkan ketersediaan data spasial lahan yang cepat dan akurat yang hingga saat ini baru terpetakan seluas 65%. Penelitian ini bertujuan membangun metode interpretasi dan memetakan bidang tanah sawah menggunakan unmanned aerial vehicle (UAV). Penelitian ini menggunakan metode interpretasi visual dengan pendekatan konvergensi bukti. Hasil interpretasi menunjukkan nilai akurasi diatas nilai toleransi, 93,13% untuk interpretassi penggunaan lahan dan 84,21% untuk interpretasi batas bidang tanah. Hal ini berarti bahwa fotoudara format kecil yang dihasilkan dari pemotretan drone dapat digunakan untuk menghasilkan data spasial bidang tanah sawah secara cepat dan akurat. 

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