zhpsЖурнал прикладной спектроскопииZhurnal Prikladnoii Spektroskopii0514-7506B. I. Stepanov Institute of Physics of the National Academy of Scienceszhps-985Research ArticleАННОТАЦИИ АНГЛОЯЗЫЧНЫХ СТАТЕЙABSTRACTS ENGLISH-LANGUAGE ARTICLESУстановка параметров гиперспектральной нагрузки для беспилотных летательных аппаратовFlight Parameter Setting of Unmanned Aerial Vehicle Hyperspectral LoadTianW.TianW.

Синьцзян

Xinjiang

ZhaoQ.ZhaoQ.

Синьцзян

Xinjiang

zqz_inf@shzu.edu.cnMaY.MaY.

Синьцзян

Xinjiang

LongX.LongX.

Синьцзян

Xinjiang

WangX.WangX.

Синьцзян

Xinjiang

Колледж машиностроения и электротехники Университета Ши Хэцзы; Исследовательский центр космических информационных технологийCollege of Mechanical and Electrical Engineering, Shi Hezi University; Research Center for Space Information Engineering TechnologyКолледж информационных наук и технологий Университета Ши Хэцзы; Исследовательский центр космических информационных технологийCollege of Information Science and Technology, Shi Hezi University; Research Center for Space Information Engineering Technology202204022022891135144Copyright © Tian W., Zhao Q., Ma Y., Long X., Wang X., 20222022Tian W., Zhao Q., Ma Y., Long X., Wang X.Tian W., Zhao Q., Ma Y., Long X., Wang X.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://zhps.ejournal.by/jour/article/view/985

С использованием метода контрольных переменных получены гиперспектральные изображения беспилотных летательных аппаратов (БЛА) Rikola при различных параметрах. Для получения спек- тральных кривых полутоновых мишеней, наземных объектов, отношения сигнал/шум, информационной энтропии и резкости изображений использованы полутоновая мишень и количественная оценка качества изображения. Результаты сравнительного анализа показывают, что качество гиперспектральных данных о растительности лучше при определении времени гиперспектральной экспозиции Rikola с использованием 64% диффузной пластины, а режим зависания и круизный режим БЛА почти не влияют на качество данных. Показано, что при высоте полета в пределах 100 м над уровнем земли качество данных тем лучше, чем выше высота полета.

Correct flight parameters are critical for obtaining high-quality unmanned aerial vehicle (UAV) remote sensing images. For the UAV, the Rikola hyperspectral load needs to set the instrument's exposure time, UAV flight mode, flight altitude, and other issues when acquiring data. Using the control variable method, UAV Rikola hyperspectral images were collected under different parameters, and the gray-scale target and image's quantitative evaluation index was used to obtain the spectral curves of gray-scale targets, ground features, signal-to-noise ratio (SNR), information entropy, and sharpness of imagery. The results of the comparative analysis show: the vegetation hyperspectral data quality was better when determining the Rikola hyperspectral exposure time using the 64% diffuse plate; UAV hover mode and cruise mode had little impact on data quality; when the flight altitude was within 100 m above ground level, the higher the flying height, the better the data quality. This study therefore provides evidence for obtaining high-quality data using UAV hyperspectral load.

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The authors declare that there are no conflicts of interest present.