Tradeoffs among multi-source remote sensing images, spatial resolution, and accuracy for the classification of wetland plant species and surface objects based on the MRS_DeepLabV3+ model-Reference-Cited by-同舟云学术

Tradeoffs among multi-source remote sensing images, spatial resolution, and accuracy for the classification of wetland plant species and surface objects based on the MRS_DeepLabV3+ model

Published:2024-07 Issue: Volume:81 Page:102594
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Chen Zizhen,Chen Jianjun,Yue Yuemin,Lan Yanping,Ling Ming,Li Xinhong,You Haotian,Han Xiaowen,Zhou Guoqing

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference68 articles.

1. Enhancing Land Cover/Land Use (LCLU) classification through a comparative analysis of hyperparameters optimization approaches for deep neural network (DNN);Azedou;Ecol. Inform.,2023

2. Characteristics of nitrate and heavy metals pollution in Huixian Wetland and its health risk assessment;Ba;Alex. Eng. J.,2022

3. Assessing spring phenology of a temperate woodland: a multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations;Berra;Remote Sens. Environ.,2019

4. Spatial analysis of intra-annual reed ecosystem dynamics at Lake Neusiedl using RGB drone imagery and deep learning;Buchsteiner;Remote Sens.,2023

5. NASA’s surface biology and geology designated observable: a perspective on surface imaging algorithms;Cawse-Nicholson;Remote Sens. Environ.,2021

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. Utilizing deep transfer learning to discover changes in landscape patterns in urban wetland parks based on multispectral remote sensing;Ecological Informatics;2024-11