Identifying ginkgo trees using spectrum and texture time series from very high resolution satellite data-Reference-Cited by-同舟云学术

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Identifying ginkgo trees using spectrum and texture time series from very high resolution satellite data

Published:2018-05-21 Issue:02 Volume:12 Page:1
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Ren Xinyu¹,Zhan Yulin¹,Yu Tao¹,Gu Xingfa¹,Zhang Yazhou¹,Wang Dakang¹,Chen Xinran¹

Affiliation:

1. Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference54 articles.

1. The missing link in Ginkgo evolution

2. The Ginkgo, the Most Ancient Living Tree

3. Origin and distribution of Ginkgo biloba

4. Variation in the Concentrations of Major Secondary Metabolites in Ginkgo Leaves from Different Geographical Populations

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1. Rotation‐Invariant Self‐Similarity Descriptor for Multi‐Temporal Remote Sensing Image Registration;The Photogrammetric Record;2022-03

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