Cargando…

Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery

Urban land cover and land use mapping plays an important role in urban planning and management. In this paper, novel multi-scale deep learning models, namely ASPP-Unet and ResASPP-Unet are proposed for urban land cover classification based on very high resolution (VHR) satellite imagery. The propose...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Pengbin, Ke, Yinghai, Zhang, Zhenxin, Wang, Mingli, Li, Peng, Zhang, Shuangyue
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263528/ https://www.ncbi.nlm.nih.gov/pubmed/30388781 http://dx.doi.org/10.3390/s18113717

Ejemplares similares

Enabling country-scale land cover mapping with meter-resolution satellite imagery
por: Tong, Xin-Yi, et al.
Publicado: (2023)

Using ASTER Imagery in Land Use/cover Classification of Eastern Mediterranean Landscapes According to CORINE Land Cover Project
por: Yüksel, Alaaddin, et al.
Publicado: (2008)

Scale Effect of Land Cover Classification from Multi-Resolution Satellite Remote Sensing Data
por: Li, Runxiang, et al.
Publicado: (2023)

Mapping land cover on Reunion Island in 2017 using satellite imagery and geospatial ground data
por: Dupuy, Stéphane, et al.
Publicado: (2019)

Graph Neural Network-Based Method of Spatiotemporal Land Cover Mapping Using Satellite Imagery
por: Kavran, Domen, et al.
Publicado: (2023)

Detailed Urban Land Use Land Cover Classification at the Metropolitan Scale Using a Three-Layer Classification Scheme
por: Cai, Guoyin, et al.
Publicado: (2019)

Land-Use and Land-Cover Classification in Semi-Arid Areas from Medium-Resolution Remote-Sensing Imagery: A Deep Learning Approach
por: Ali, Kamran, et al.
Publicado: (2022)

Regional thermal environment changes: Integration of satellite data and land use/land cover
por: Ren, Jiayi, et al.
Publicado: (2022)

Using satellite data to monitor land-use land-cover change in North-eastern Latvia
por: Fonji, Simon Foteck, et al.
Publicado: (2014)

Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery
por: Belgiu, Mariana, et al.
Publicado: (2014)

Mapping the spatial heterogeneity of global land use and land cover from 2020 to 2100 at a 1 km resolution
por: Zhang, Tianyuan, et al.
Publicado: (2023)

Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery
por: Sheffield, Kathryn, et al.
Publicado: (2015)

Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery
por: Kim, So-Ra, et al.
Publicado: (2011)

Classification of land use/land cover using artificial intelligence (ANN-RF)
por: Alshari, Eman A., et al.
Publicado: (2023)

Land use / land cover map of Vavatenina region (Madagascar) produced by object-based analysis of very high spatial resolution satellite images and geospatial reference data.
por: Lelong, Camille, et al.
Publicado: (2022)

Multi-Feature Classification of Multi-Sensor Satellite Imagery Based on Dual-Polarimetric Sentinel-1A, Landsat-8 OLI, and Hyperion Images for Urban Land-Cover Classification
por: Zhou, Tao, et al.
Publicado: (2018)

Land Use and Land Cover Classification Meets Deep Learning: A Review
por: Zhao, Shengyu, et al.
Publicado: (2023)

Land use and land cover change detection and spatial distribution on the Tibetan Plateau
por: Hao, Shuang, et al.
Publicado: (2021)

Spatio-Temporal Change of Land Use/Land Cover and Vegetation Using Multi-MODIS Satellite Data, Western Ethiopia
por: Seifu, Tesema Kebede, et al.
Publicado: (2023)

Land cover maps of Antananarivo (capital of Madagascar) produced by processing multisource satellite imagery and geospatial reference data
por: Stéphane, Dupuy, et al.
Publicado: (2020)

Surface Heterogeneity-Involved Estimation of Sample Size for Accuracy Assessment of Land Cover Product from Satellite Imagery
por: Ren, Huiqun, et al.
Publicado: (2019)

Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative Study
por: Naushad, Raoof, et al.
Publicado: (2021)

Assessing multi-decadal land-cover – land-use change in two wildlife protected areas in Tanzania using Landsat imagery
por: Mtui, Devolent T., et al.
Publicado: (2017)

Land Use and Land Cover Change in Guangzhou, China, from 1998 to 2003, Based on Landsat TM /ETM+ Imagery
por: Fan, Fenglei, et al.
Publicado: (2007)

Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery
por: Chen, Chao, et al.
Publicado: (2020)

Integrated Airborne LiDAR Data and Imagery for Suburban Land Cover Classification Using Machine Learning Methods
por: Mo, You, et al.
Publicado: (2019)

Land cover and forest health indicator datasets for central India using very-high resolution satellite data
por: Khanwilkar, Sarika, et al.
Publicado: (2023)

Multispectral LiDAR Data for Land Cover Classification of Urban Areas
por: Morsy, Salem, et al.
Publicado: (2017)

Spatial relationship between land-use/land-cover change and land surface temperature in the Dongting Lake area, China
por: Tan, Jie, et al.
Publicado: (2020)

Scenario simulation of land use and land cover change in mining area
por: Chang, Xiaoyan, et al.
Publicado: (2021)

Land Cover Changes Utilising Landsat Satellite Imageries for the Kumasi Metropolis and Its Adjoining Municipalities in Ghana (1986–2022)
por: Frimpong, Bernard Fosu, et al.
Publicado: (2023)

Monitoring of land use land cover dynamics and prediction of urban growth using Land Change Modeler in Delhi and its environs, India
por: Singh, Bhavna, et al.
Publicado: (2022)

Spatial near future modeling of land use and land cover changes in the temperate forests of Mexico
por: Prieto-Amparán, Jesús A., et al.
Publicado: (2019)

Application of High-Resolution Remote-Sensing Data for Land Use Land Cover Mapping of University Campus
por: Dharmawan, Irwan Ary, et al.
Publicado: (2021)

A Simple Semi-Automatic Approach for Land Cover Classification from Multispectral Remote Sensing Imagery
por: Jiang, Dong, et al.
Publicado: (2012)

Assessment of Land-Use and Land-Cover Change in Guangxi, China
por: Hu, Yunfeng, et al.
Publicado: (2019)

Outdoor Air Emissions, Land Use, and Land Cover around Schools on Tribal Lands
por: Barros, Nirmalla, et al.
Publicado: (2018)

Spatial-Temporal Variations of Water Quality and Its Relationship to Land Use and Land Cover in Beijing, China
por: Chen, Xiang, et al.
Publicado: (2016)

Monitoring the Spatial Variation of Aerosol Optical Depth and Its Correlation with Land Use/Land Cover in Wuhan, China: A Perspective of Urban Planning
por: Xie, Qijiao, et al.
Publicado: (2021)

Exploiting the spatial information in high resolution satellite data and utilising multi-source data for tropical mountain forest and land cover mapping
por: Gleitsmann, Anke, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_n1fgl0a4t011hhsma9u80i96at