Crop field extraction from high resolution remote sensing images based on semantic edges and spatial structure map

Crop field extraction from high resolution remote sensing images based on semantic edges and spatial structure map

Crop field boundary extraction is crucial to remote sensing images attained to support agricultural production and planning. In recent years, deep convolutional neural networks (CNNs) have gained significant attention for edge detection tasks. Moreover, transformers have shown superior feature extra...

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Bibliographic Details
Main Authors: Liegang Xia, Ruiyan Liu, Yishao Su, Shulin Mi, Dezhi Yang, Jun Chen, Zhanfeng Shen
Format: Article
Language:English
Published: Taylor & Francis Group 2024-01-01
Series:Geocarto International
Subjects:
High-resolution remote sensing images
image segmentation
semantic edge detection
transformer
Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2024.2302176
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