Гиперспектр буюу хэт олон сувагт “LCTF” камер ашиглан ургамлыг төрөл зүйлээр ангилан ялгах шинэ алгоритм

Authors

  • О.Баярцэцэг МУИС, Шинжлэх Ухааны Сургууль, Физикийн тэнхим
  • Ө.Баярсайхан МУИС, Шинжлэх Ухааны Сургууль, Биологийн тэнхим
  • Д.Эрдэнэбаатар МУИС, Шинжлэх Ухааны Сургууль, Физикийн тэнхим
  • Т.Төртогтох МУИС, Шинжлэх Ухааны Сургууль, Физикийн тэнхим
  • М.Отгонбаатар МУИС, Шинжлэх Ухааны Сургууль, Физикийн тэнхим
  • Г.Даваадулам Физик Технологийн Хүрээлэн, Цацрагийн биофизикийн лаборатори
  • Т.Бэгзсүрэн МУИС, Шинжлэх Ухааны Сургууль, Физикийн Тэнхим

DOI:

https://doi.org/10.22353/physics.v35i594.5602

Keywords:

Vegetation Classification, hyperspectral camera, spectral reflectance

Abstract

Энэ судалгааны хүрээнд хэт олон сувагт LCTF (Liquid Crystal Tunable Filter) буюу шингэн кристалл шүүлтүүртэй камерын тусламжтай ургамлын зүйлийг түүний спектр шинж чанарт тулгуурлан ялгаж, навчны талбайн индекс LAI (Leaf Area Index) тооцож гаргах шинэ алгоритмыг туршин үзэв. 2022 оны 7-р сарын эхний долоо хоногт Хар Ямаат байгалийн нөөц газарт хэд хэдэн бодит талбарт LCTF камераар хээрийн ургамлуудын зургийг авч, цуглуулсан зурган мэдээллээс ургаж буй олон зүйлийн ургамлуудын гэрлийн ойлтын спектрийг дүрс боловсруулах аргаар ялгаж, түүгээр спектр сан үүсгэв. Үүсгэсэн сангийн мэдээллээс бид улаан хилийн зурваст тулгуурлан өвслөг ургамлын зүйлийн бүрдлийг тодорхойлох алгоритм туршиж үзсэн. Тухайн алгоритмаар навчны талбайн индексийг мөн тооцож гаргахад эрүүл ургамлыг хагдарсан өвс болон ургамал бус зүйлээс 95% дээш нийлэмжтэй ялгаж байна. Энэ ажлын үр дүнд ургамлын төрөл зүйлийг машинаар олон сувагт камерын тусламжтай өндөр нарийвчлалтай ялгах боломжтойг харуулж байна. Цаашид орчин үеийн хиймэл дагуул, дроноор авсан зургаас уг бидний хөгжүүлсэн алгоритмыг ашиглан хаана ямар төрөл зүйлийн ургамал хэр хэмжээгээр ургаж буйг ялгах боломж бүрдэх юм.

[ENGLISH]
Within the framework of this research, a new algorithm was designed to determine the plant’s red edge slope and the Leaf Area Index (LAI) based on their spectral characteristics using a hyperspectral LCTF (Liquid Crystal Tunable Filter) camera. In the first week of July 2022, we took pictures of field vegetation in several fields in the Khar Yamaat Nature Reserve with the LCTF camera. From the collected data, the light reflectance spectrum of many species of growing plants was distinguished with the help of image processing, and with that, we created a spectrum dataset of 21 different species. From the generated dataset, we designed an algorithm to determine plant species or dry grass based on the red edge slope, which works with approximately 95% accuracy. The algorithm also calculates the leaf area index, and healthy plants are distinguished from damaged grass and non-plant species. The results of this work demonstrate that vegetation can be classified by vegetation’s red edge slope using hyperspectral cameras. In the future, it will be possible to determine the location and number of growing plants using the algorithm we developed on the images taken by modern satellites and drones.

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Published

2024-04-10

How to Cite

Oyungerel, B., Uudus, B., Dashdondog, E., Tumenjargal, T., Myagmar, O., Gombosuren, D., & Tumendemberel, B. (2024). Гиперспектр буюу хэт олон сувагт “LCTF” камер ашиглан ургамлыг төрөл зүйлээр ангилан ялгах шинэ алгоритм. Scientific Transaction of the National University of Mongolia. Physics, 35(594), 21–29. https://doi.org/10.22353/physics.v35i594.5602

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