Agriculture application with airborne hyperspectral images from two-dimensional concave grating system

Cheng Hao Ko, Hsuan Ren, Jih Run Tsai, Bang Ji Wang, Shin Fa Lin, Chih Hsuan Huang, Chi Tsung Hong, Wei Huai Chiu

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

2 Scopus citations

Abstract

Hyperspectral imaging spectrometers have been extensively researched in the past a few decades. They can measure electromagnetic energy in their instantaneous field of view in hundreds of wavelengths. With such high spectral resolution less than 10 nanometers, it is possible to distinguish materials of subtle difference in spectrum. Recently, a two-dimensional concave grating hyperspectral spectrometer has been developed under the support of National Space Organization in Taiwan. This airborne system is integrated with two subsystems of visible-near infrared (VNIR) and short-wave infrared (SWIR) bands with 3.5 and 10 nanometers spectral resolution respectively. With the design fly altitude of 2000 meters, the spatial resolution is about 70 cm. In this study, linear and nonlinear classification methods of Fully Constrained Least Squares (FCLS) and Back Propagation Neural Network (BPNN) for agriculture crops are discussed. Based on the ground truth, four crops are selected in the study site, including chives, broccoli, rape and pea. The experimental results indicate the classification accuracy of BPNN can exceed 90% and outperforms classification results of FCLS.

Original languageEnglish
Title of host publicationAIAA Scitech 2019 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105784
DOIs
StatePublished - 2019
EventAIAA Scitech Forum, 2019 - San Diego, United States
Duration: 7 Jan 201911 Jan 2019

Publication series

NameAIAA Scitech 2019 Forum

Conference

ConferenceAIAA Scitech Forum, 2019
Country/TerritoryUnited States
CitySan Diego
Period7/01/1911/01/19

Keywords

  • Airborne Hyperspectral Images
  • Back Propagation Neural Network (BPNN)
  • Fully Constrained Least Squares (FCLS)
  • Two-Dimensional Concave Grating

Fingerprint

Dive into the research topics of 'Agriculture application with airborne hyperspectral images from two-dimensional concave grating system'. Together they form a unique fingerprint.

Cite this