Built-up area mapping in China from GF-3 SAR imagery based on the framework of deep learning
出版年份 2021 全文链接
标题
Built-up area mapping in China from GF-3 SAR imagery based on the framework of deep learning
作者
关键词
Synthetic aperture radar, Built-up area, GF-3, Deep learning, Convolutional neural network
出版物
REMOTE SENSING OF ENVIRONMENT
Volume 262, Issue -, Pages 112515
出版商
Elsevier BV
发表日期
2021-05-28
DOI
10.1016/j.rse.2021.112515
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Spaceborne SAR Data for Regional Urban Mapping Using a Robust Building Extractor
- (2020) Juanjuan Li et al. Remote Sensing
- The Generalised Settlement Area: mapping the Earth surface in the vicinity of built-up areas
- (2019) A. J. Florczyk et al. International Journal of Digital Earth
- Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017
- (2019) Peng Gong et al. Science Bulletin
- High-Resolution Urban Land Mapping in China from Sentinel 1A/2 Imagery Based on Google Earth Engine
- (2019) Zhongchang Sun et al. Remote Sensing
- Integration of Sentinel-1 and Sentinel-2 for Classification and LULC Mapping in the Urban Area of Belém, Eastern Brazilian Amazon
- (2019) Paulo Tavares et al. SENSORS
- Automatic extraction of built-up area from ZY3 multi-view satellite imagery: Analysis of 45 global cities
- (2019) Chun Liu et al. REMOTE SENSING OF ENVIRONMENT
- Novel Techniques for Built-Up Area Extraction From Polarimetric SAR Images
- (2019) Debanshu Ratha et al. IEEE Geoscience and Remote Sensing Letters
- Remotely sensed big data: evolution in model development for information extraction [point of view]
- (2019) Bing Zhang et al. PROCEEDINGS OF THE IEEE
- Building Detection in SAR Images Based on Bi-Dimensional Empirical Mode Decomposition Algorithm
- (2019) Xiang Li et al. IEEE Geoscience and Remote Sensing Letters
- High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform
- (2018) Xiaoping Liu et al. REMOTE SENSING OF ENVIRONMENT
- Operational Built-Up Areas Extraction for Cities in China Using Sentinel-1 SAR Data
- (2018) Han Cao et al. Remote Sensing
- Towards a 20 m Global Building Map from Sentinel-1 SAR Data
- (2018) Marco Chini et al. Remote Sensing
- Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks
- (2018) Muhammad Shahzad et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Breaking new ground in mapping human settlements from space – The Global Urban Footprint
- (2017) Thomas Esch et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
- (2017) John E. Ball et al. Journal of Applied Remote Sensing
- The SAR Payload Design and Performance for the GF-3 Mission
- (2017) Jili Sun et al. SENSORS
- Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
- (2017) Xiao Xiang Zhu et al. IEEE Geoscience and Remote Sensing Magazine
- How good is the map? A multi-scale cross-comparison framework for global settlement layers: Evidence from Central Europe
- (2016) M. Klotz et al. REMOTE SENSING OF ENVIRONMENT
- Built-up Area Extraction from PolSAR Imagery with Model-Based Decomposition and Polarimetric Coherence
- (2016) Deliang Xiang et al. Remote Sensing
- Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
- (2016) Liangpei Zhang et al. IEEE Geoscience and Remote Sensing Magazine
- Global land cover mapping using Earth observation satellite data: Recent progresses and challenges
- (2015) Yifang Ban et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Global land cover mapping at 30m resolution: A POK-based operational approach
- (2015) Jun Chen et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Unsupervised Global Urban Area Mapping via Automatic Labeling from ASTER and PALSAR Satellite Images
- (2015) Yulin Duan et al. Remote Sensing
- Good practices for estimating area and assessing accuracy of land change
- (2014) Pontus Olofsson et al. REMOTE SENSING OF ENVIRONMENT
- Urban Footprint Processor—Fully Automated Processing Chain Generating Settlement Masks From Global Data of the TanDEM-X Mission
- (2013) T. Esch et al. IEEE Geoscience and Remote Sensing Letters
- Fast and Efficient Urban Extent Extraction Using ASAR Wide Swath Mode Data
- (2013) Paolo Gamba et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results
- (2013) Martino Pesaresi et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Urban-Area Extraction From Polarimetric SAR Images Using Polarization Orientation Angle
- (2012) M. Kajimoto et al. IEEE Geoscience and Remote Sensing Letters
- TanDEM-X mission—new perspectives for the inventory and monitoring of global settlement patterns
- (2012) Thomas Esch et al. Journal of Applied Remote Sensing
- Four-Component Scattering Power Decomposition With Rotation of Coherency Matrix
- (2011) Yoshio Yamaguchi et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Robust Extraction of Urban Area Extents in HR and VHR SAR Images
- (2010) Paolo Gamba et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Delineation of Urban Footprints From TerraSAR-X Data by Analyzing Speckle Characteristics and Intensity Information
- (2010) T. Esch et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Mapping global urban areas using MODIS 500-m data: New methods and datasets based on ‘urban ecoregions’
- (2010) Annemarie Schneider et al. REMOTE SENSING OF ENVIRONMENT
- A new map of global urban extent from MODIS satellite data
- (2009) A Schneider et al. Environmental Research Letters
- Mapping urban areas on a global scale: which of the eight maps now available is more accurate?
- (2009) David Potere et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Radar Polarization Orientation Shifts in Built-Up Areas
- (2008) H. Kimura IEEE Geoscience and Remote Sensing Letters
- Reimagining Cities
- (2008) C. Ash et al. SCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation