Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks

Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks

Recent studies have enhanced the mapping performance of the local climate zone (LCZ), a standard framework for evaluating urban form and function for urban heat island research, through remote sensing (RS) images and deep learning classifiers such as convolutional neural networks (CNNs). The accurac...

Full description

Bibliographic Details
Main Authors: Cheolhee Yoo, Yeonsu Lee, Dongjin Cho, Jungho Im, Daehyeon Han
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
local climate zone
urban climate
convolutional neural networks
building information
Sentinel
Online Access:https://www.mdpi.com/2072-4292/12/21/3552

Similar Items

Similar Items