Contrastive analysis of extraction of Polygonatum cyrtonema planting area based on data of "Resource 3".
10.19540/j.cnki.cjcmm.20201026.102
- Author:
Ling-Li CHEN
1
;
Ting-Ting SHI
2
;
Min-Zhen YIN
3
;
Mei YANG
3
;
Hua-Sheng PENG
4
;
Ming-En CHENG
5
;
Lei LI
6
;
Xiao-Bo ZHANG
2
Author Information
1. School of Pharmacy, Anhui University of Chinese Medicine Hefei 230012, China Research Units of Dao-di Herbs, Chinese Academy of Medical Sciences Beijing 100700, China.
2. State Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
3. School of Pharmacy, Anhui University of Chinese Medicine Hefei 230012, China.
4. School of Pharmacy, Anhui University of Chinese Medicine Hefei 230012, China State Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China Research Units of Dao-di Herbs, Chinese Academy of Medical Sciences Beijing 100700, China.
5. School of Pharmacy, Anhui University of Chinese Medicine Hefei 230012, China Anhui Province Key Laboratory of Research & Development of Chinese Medicine Hefei 230012, China.
6. Anhui Sunrich Agriculture Comprehensive Development Co., Ltd. Lu'an 237000, China.
- Publication Type:Journal Article
- Keywords:
Polygonatum cyrtonema;
planting area;
regionalization;
remote sensing;
resources of traditional Chinese medicine;
supervised classification
- MeSH:
Medicine, Chinese Traditional;
Polygonatum;
Reproducibility of Results;
Research Design;
Support Vector Machine
- From:
China Journal of Chinese Materia Medica
2021;46(2):267-271
- CountryChina
- Language:Chinese
-
Abstract:
Polygonatum cyrtonema is a famous bulk medicinal material which is the medicinal and edible homologous. With the implementation of the traditional Chinese medicine industry to promote precise poverty alleviation, the planting area of P. cyrtonema in Jinzhai is becoming larger and larger in recent years. Jinzhai is located in the Dabie Mountainous area, which is the largest mountain area and county in Anhui Province. The cultivation of P. cyrtonema is scattered, and the traditional Chinese medicine resources investigation is not only inefficient and accurate. In this study,the "Resource 3"(ZY-3) remote sensing image was used as the best observation phase,and the method of support vector machine classification was used. The method of parallelepiped, minimum distance, mahalanob is distance, maximum likelihood classification and neural net were used to classify and recognize the P. cyrtonema in the whole region. In order to determine the accuracy and reliability of classification results, the accuracy of six supervised classification results was evaluated by confusion matrix method, and the advantages and disadvantages of six supervised classification methods for extracting P. cyrtonema field planting area were compared and analyzed. The results showed that the method of support vector machine classification was more appropriate than that using other classification methods. It provides a scientific basis for monitoring the planting area of P. cyrtonemain field.
