Design and Development of a Drone Based Hyperspectral Imaging System

Yee Kit Chan, Voon Chet Koo, Muhammad Zharfan Adli Zahisham, Kian Ming Lim, Tee Connie, Chee Siong Lim, Yang Lang Chang, Yang Ping Lee, Haryati Abidin

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

In this project, an experimental study on disease detection and nutrient extraction of plantation such as oil palm will be carried out using a drone based hyperspectral imaging system developed by Centre for Remote Sensing and Surveillance Technologies (CRSST), Multimedia University (MMU), Malaysia. The major advantages of this system are light weight (approximately 250g for sensor) and larger number of band selection (from 500nm to 900nm) compared to a conventional multispectral camera. A customised multirotor drone has been designed and developed for longer endurance operation and to carry the non-standard payload i.e. hyperspectral camera. Preliminary testing has been performed in laboratory and oil palm plantation to verify the developed system. Initial results show that the hyperspectral data are suitable to be used for differentiation of the healthiness level of the oil palm plantation.

Original languageEnglish
Title of host publicationIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4200-4203
Number of pages4
ISBN (Electronic)9781665427920
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia
Duration: 17 Jul 202222 Jul 2022

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2022-July

Conference

Conference2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Country/TerritoryMalaysia
CityKuala Lumpur
Period17/07/2222/07/22

Keywords

  • Hyperspectral imaging
  • multirotor drone
  • precision agriculture
  • remote sensing

ASJC Scopus subject areas

  • Computer Science Applications
  • General Earth and Planetary Sciences

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