Integrating Aerial and Street View Images for Urban Land Use Classification

Integrating Aerial and Street View Images for Urban Land Use Classification

Urban land use is key to rational urban planning and management. Traditional land use classification methods rely heavily on domain experts, which is both expensive and inefficient. In this paper, deep neural network-based approaches are presented to label urban land use at pixel level using high-re...

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Bibliographic Details
Main Authors: Rui Cao, Jiasong Zhu, Wei Tu, Qingquan Li, Jinzhou Cao, Bozhi Liu, Qian Zhang, Guoping Qiu
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Remote Sensing
Subjects:
land use classification
semantic segmentation
aerial images
street view images
convolutional neural network (CNN)
deep learning
data fusion
Online Access:http://www.mdpi.com/2072-4292/10/10/1553

Internet

http://www.mdpi.com/2072-4292/10/10/1553

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