Exploration of Intelligent Mapping Method for Coastal Wetlands Based on Unmanned Aerial Vehicle Hyperspectral Data
ZHANG Shuyan
SONG Xin
GUO Fangming
WANG Wuli
WANG Jianbu
REN Guangbo
Abstract：Remote sensing intelligent mapping of coastal wetlands can provide data support for government management departments to timely grasp changes in the ecological environment and the effectiveness of ecological restoration.In this paper,we used unmanned aerial vehicle hyperspectral data source to construct a lightweight multi-scale improved 3D CNN model under limited samples.The model reduced computational costs while efficiently obtains spatial and global spectral features of hyperspectral data,and achieved intelligent interpretation and mapping of typical coastal wetland areas.The experimental results showed that the proposed model achieved better mapping accuracy,with much smaller parameter count than other methods,providing a reference for quick and precise remote sensing mapping of coastal wetlands.
Keywords：intelligent mappingcoastal wetlandunmanned aerial vehicle hyperspectral datalimited sampleslightweight model
Publication Date：2024-10-28
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：7( 87-93 )