CroplandCDNet: Cropland Change Detection Network for Multitemporal Remote Sensing Images Based on Multilayer Feature Transmission Fusion of an Adaptive Receptive Field

CroplandCDNet: Cropland Change Detection Network for Multitemporal Remote Sensing Images Based on Multilayer Feature Transmission Fusion of an Adaptive Receptive Field

Dynamic monitoring of cropland using high spatial resolution remote sensing images is a powerful means to protect cropland resources. However, when a change detection method based on a convolutional neural network employs a large number of convolution and pooling operations to mine the deep features...

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Bibliographic Details
Main Authors: Qiang Wu, Liang Huang, Bo-Hui Tang, Jiapei Cheng, Meiqi Wang, Zixuan Zhang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
cropland change detection
high spatial resolution remote sensing images
adaptive receptive field
deep learning
attention mechanism
Online Access:https://www.mdpi.com/2072-4292/16/6/1061

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