[PDF][PDF] A literature survey on smart cities

CT Yin, Z ** using remote sensing
M Kuffer, K Pfeffer, R Sliuzas - Remote Sensing, 2016 - mdpi.com
The body of scientific literature on slum map** employing remote sensing methods has
increased since the availability of more very-high-resolution (VHR) sensors. This improves …

An object-based convolutional neural network (OCNN) for urban land use classification

C Zhang, I Sargent, X Pan, H Li, A Gardiner… - Remote sensing of …, 2018 - Elsevier
Urban land use information is essential for a variety of urban-related applications such as
urban planning and regional administration. The extraction of urban land use from very fine …

Joint Deep Learning for land cover and land use classification

C Zhang, I Sargent, X Pan, H Li, A Gardiner… - Remote sensing of …, 2019 - Elsevier
Land cover (LC) and land use (LU) have commonly been classified separately from remotely
sensed imagery, without considering the intrinsically hierarchical and nested relationships …

Urban green spaces as a component of an ecosystem

JG Vargas-Hernández, K Pallagst… - Sustainable …, 2023 - Springer
This chapter is aimed at analyzing a review of the empirical literature on some important
features of urban green spaces such as the components, functions, services, community …

Learning aerial image segmentation from online maps

P Kaiser, JD Wegner, A Lucchi, M Jaggi… - … on Geoscience and …, 2017 - ieeexplore.ieee.org
This paper deals with semantic segmentation of high-resolution (aerial) images where a
semantic class label is assigned to each pixel via supervised classification as a basis for …

Classifying urban land use by integrating remote sensing and social media data

X Liu, J He, Y Yao, J Zhang, H Liang… - International Journal …, 2017 - Taylor & Francis
Urban land use information plays an important role in urban management, government
policy-making, and population activity monitoring. However, the accurate classification of …

Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends

Q Weng - Remote Sensing of Environment, 2012 - Elsevier
The knowledge of impervious surfaces, especially the magnitude, location, geometry, spatial
pattern of impervious surfaces and the perviousness–imperviousness ratio, is significant to a …

[HTML][HTML] Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series

RN Masolele, V De Sy, M Herold, D Marcos… - Remote Sensing of …, 2021 - Elsevier
Assessing land-use following deforestation is vital for reducing emissions from deforestation
and forest degradation. In this paper, for the first time, we assess the potential of spatial …

A survey of image classification methods and techniques for improving classification performance

D Lu, Q Weng - International journal of Remote sensing, 2007 - Taylor & Francis
Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …