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[PDF][PDF] A literature survey on smart cities
CT Yin, Z ** using remote sensing
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 …
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
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 …
urban planning and regional administration. The extraction of urban land use from very fine …
Joint Deep Learning for land cover and land use classification
Land cover (LC) and land use (LU) have commonly been classified separately from remotely
sensed imagery, without considering the intrinsically hierarchical and nested relationships …
sensed imagery, without considering the intrinsically hierarchical and nested relationships …
Urban green spaces as a component of an ecosystem
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 …
features of urban green spaces such as the components, functions, services, community …
Learning aerial image segmentation from online maps
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 …
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
Urban land use information plays an important role in urban management, government
policy-making, and population activity monitoring. However, the accurate classification of …
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 …
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
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 …
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
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 …
examines current practices, problems, and prospects of image classification. The emphasis …