Evaluation of wavelet spectral features in pathological detection and discrimination of yellow rust and powdery mildew in winter wheat with hyperspectral reflectance data-Reference-Cited by-同舟云学术

Evaluation of wavelet spectral features in pathological detection and discrimination of yellow rust and powdery mildew in winter wheat with hyperspectral reflectance data

Published:2017-05-31 Issue:2 Volume:11 Page:026025
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Shi Yue¹,Huang Wenjiang²,Zhou Xianfeng¹

Affiliation:

1. Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Beijing, ChinabUniversity of Chinese Academy of Sciences, Beijing, China

2. Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Beijing, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference52 articles.

1. Management of yellow rust of wheat through fungicides;Rakesh,2011

2. Non-host resistance of barley is associated with a hydrogen peroxide burst at sites of attempted penetration by wheat powdery mildew fungus

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