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Selection on Optimal Bands to EstimateYield of the Chinese Cabbage Using Drone-based Hyperspectral Image

드론 기반 초분광 영상을 이용한 배추 단수 추정의 최적밴드 선정

Na, Sang-il;Park, Chan-won;So, Kyu-ho;Ahn, Ho-yong;Lee, Kyung-do
나상일;박찬원;소규호;안호용;이경도

  • Received : 2019.05.22
  • Accepted : 2019.06.04
  • Published : 2019.06.30

Abstract

The use of drone-based hyperspectral image offers considerable advantages in high resolution remote sensing applications. The primary objective of this study was to select the optimal bands based on hyperspectral image for the estimation yield of the chinese cabbage. The hyperspectral narrow bands were acquired over 403.36 to 995.19 nm using a 3.97 nm wide, 150 bands, drone-based hyperspectral imaging sensor. Fresh weight data were obtained from 2,031 sample for each field survey. Normalized difference vegetation indices were computed using red, red-edge and near-infrared bands and their relationship with quantitative each fresh weights were established and compared. As a result, predominant proportion of fresh weights are best estimated using data from three narrow bands, in order of importance, centered around 697.29 nm (red band), 717.15 nm (red-edge band) and 808.51 nm (near-infrared band). The study determined three spectral bands that provide optimal chinese cabbage productivity in the visible and near-infrared portion of the spectrum.

Keywords

hyperspectral;drone;optimal band;yield;chinese cabbage

Acknowledgement

Supported by : 농촌진흥청