Combining Spectral and Texture Features of UAS-Based Multispectral Images for Maize Leaf Area Index...
Combining Spectral and Texture Features of UAS-Based Multispectral Images for Maize Leaf Area Index Estimation
About this item
Full title
Author / Creator
Zhang, Xuewei , Zhang, Kefei , Sun, Yaqin , Zhao, Yindi , Zhuang, Huifu , Ban, Wei , Chen, Yu , Fu, Erjiang , Chen, Shuo , Liu, Jinxiang and Hao, Yumeng
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
The leaf area index (LAI) is of great significance for crop growth monitoring. Recently, unmanned aerial systems (UASs) have experienced rapid development and can provide critical data support for crop LAI monitoring. This study investigates the effects of combining spectral and texture features extracted from UAS multispectral imagery on maize LAI...
Alternative Titles
Full title
Combining Spectral and Texture Features of UAS-Based Multispectral Images for Maize Leaf Area Index Estimation
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_948a263f5f1646819334db949c5b8a7e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_948a263f5f1646819334db949c5b8a7e
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14020331
