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Mar, 2024
DF4LCZ:一种基于SAM的场景级局地气候区域分类的数据融合框架
DF4LCZ: A SAM-Empowered Data Fusion Framework for Scene-Level Local Climate Zone Classification
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Qianqian Wu, Xianping Ma, Jialu Sui, Man-On Pun
TL;DR
通过与Sentinel-2图像相结合,将从高分辨率Google图像提取的地面对象先验融合在一起,从而提出了一个用于地表气候分区 (LCZs)分类的数据融合方法。
Abstract
Recent advancements in
remote sensing
(RS) technologies have shown their potential in accurately classifying
local climate zones
(LCZs). However, traditional scene-level methods using convolutional neural network
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