D-FusionNet：利用扩张卷积块从遥感图像中提取道路

IF 6 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing Pub Date : 2023-10-25 DOI:10.1080/15481603.2023.2270806

Ruixuan Zhang, Wu Zhu, Yankui Li, Tiansheng Song, Zhenhong Li, Wenjing Yang, Luyao Yang, Tian Zhou, Xuanyu Xu

引用次数: 0

摘要

深度学习技术已被应用于从遥感图像中提取道路区域，利用其高效和智能的优势。然而，有效。。。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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D-FusionNet: road extraction from remote sensing images using dilated convolutional block

Deep learning techniques have been applied to extract road areas from remote sensing images, leveraging their efficient and intelligent advantages. However, the contradiction between the effective ...

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来源期刊

GIScience & Remote Sensing 地学-遥感

CiteScore

11.20

自引率

9.00%

发文量

审稿时长

6 months

期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.