[HTML][HTML] 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 …
classification methods rely heavily on domain experts, which is both expensive and …
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 …
[HTML][HTML] Land-Use Mapping with Multi-Temporal Sentinel Images Based on Google Earth Engine in Southern Xinjiang Uygur Autonomous Region, China
Land-use maps are thematic materials reflecting the current situation, geographical diversity,
and classification of land use and are an important scientific foundation that can assist …
and classification of land use and are an important scientific foundation that can assist …
[HTML][HTML] Improving land use/cover classification with a multiple classifier system using AdaBoost integration technique
Y Chen, P Dou, X Yang - Remote Sensing, 2017 - mdpi.com
Guangzhou has experienced a rapid urbanization since 1978 when China initiated the
economic reform, resulting in significant land use/cover changes (LUC). To produce a time …
economic reform, resulting in significant land use/cover changes (LUC). To produce a time …
[HTML][HTML] Mapping urban areas using a combination of remote sensing and geolocation data
N Xia, L Cheng, MC Li - Remote Sensing, 2019 - mdpi.com
Urban areas are essential to daily human life; however, the urbanization process also brings
about problems, especially in China. Urban mapping at large scales relies heavily on …
about problems, especially in China. Urban mapping at large scales relies heavily on …
Evaluating Landsat-8, Landsat-9 and Sentinel-2 imageries in land use and land cover (LULC) classification in a heterogeneous urban area
Land use and land cover (LULC) mapping is important for sustainable land management
and has received great attention from researchers over the years. Classifying satellite …
and has received great attention from researchers over the years. Classifying satellite …
[HTML][HTML] Optimum feature and classifier selection for accurate urban land use/cover mapping from very high resolution satellite imagery
Feature selection to reduce redundancies for efficient classification is necessary but usually
time consuming and challenging. This paper proposed a comprehensive analysis for …
time consuming and challenging. This paper proposed a comprehensive analysis for …
[HTML][HTML] Land-use and land-cover classification in semi-arid areas from medium-resolution remote-sensing imagery: A deep learning approach
K Ali, BA Johnson - Sensors, 2022 - mdpi.com
Detailed Land-Use and Land-Cover (LULC) information is of pivotal importance in, eg,
urban/rural planning, disaster management, and climate change adaptation. Recently, Deep …
urban/rural planning, disaster management, and climate change adaptation. Recently, Deep …
Integrating bottom-up classification and top-down feedback for improving urban land-cover and functional-zone mapping
X Zhang, S Du, Q Wang - Remote Sensing of Environment, 2018 - Elsevier
As two kinds of basic units of cities, land-cover objects and functional zones play different
but totally important roles in urban mapping and studies. Recent several years have …
but totally important roles in urban mapping and studies. Recent several years have …