Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model-Reference-Cited by-同舟云学术

Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model

Published:2024-03-13 Issue:1 Volume:61 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Xing Fei¹²³⁴,An Ru¹,Guo Xulin³,Shen Xiaoji⁴⁵

Affiliation:

1. College of Geography and Remote Sensing, Hohai University, Nanjing, China

2. School of Earth Sciences and Engineering, Hohai University, Nanjing, China

3. Department of Geography and Planning, University of Saskatchewan, Saskatoon, Canada

4. The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, China

5. Yangtze Institute for Conservation and Development, Hohai University, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Key Laboratory of Hydrometeorology of China Meteorological Administration

Natural Sciences and Engineering Research Council of Canada

China Scholarship Council

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2024.2327146

Reference128 articles.

1. Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using UAV Remote Sensing and Machine Learning Classifiers

2. Exploring Patterns Enriched in a Dataset with Contrastive Principal Component Analysis;Abid A.;Nature Communications,2018

3. Spectral-spatial classification method for hyperspectral images using stacked sparse autoencoder suitable in limited labelled samples situation

4. ImageNet classification with deep convolutional neural networks

5. The role of environmental context in mapping invasive plants with hyperspectral image data

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mapping the Continuous Cover of Invasive Noxious Weed Species Using Sentinel-2 Imagery and a Novel Convolutional Neural Regression Network;Remote Sensing;2024-05-06