Automatic Updating of Land Cover Maps in Rapidly Urbanizing Regions by Relational Knowledge Transferring from GlobeLand30

[1]  Stephan Pauleit,et al.  The dynamics of peri-urban agriculture during rapid urbanization of Jabodetabek Metropolitan Area , 2015 .

[2]  Lorenzo Bruzzone,et al.  Toward the Automatic Updating of Land-Cover Maps by a Domain-Adaptation SVM Classifier and a Circular Validation Strategy , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Xue Li,et al.  Iterative Reweighting Heterogeneous Transfer Learning Framework for Supervised Remote Sensing Image Classification , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[4]  Mariana Belgiu,et al.  Random forest in remote sensing: A review of applications and future directions , 2016 .

[5]  Ivor W. Tsang,et al.  Domain Adaptation via Transfer Component Analysis , 2009, IEEE Transactions on Neural Networks.

[6]  Xuezhi Feng,et al.  Accuracy assessment of seven global land cover datasets over China , 2017 .

[7]  Yang Bai,et al.  New ecological redline policy (ERP) to secure ecosystem services in China , 2016 .

[8]  Francesca Bovolo,et al.  Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Peijun Li,et al.  A temperature and vegetation adjusted NTL urban index for urban area mapping and analysis , 2018 .

[10]  Gustavo Camps-Valls,et al.  Semisupervised Manifold Alignment of Multimodal Remote Sensing Images , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Xiaoping Liu,et al.  High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform , 2018 .

[12]  Xinyu Wang,et al.  Spatial-Spectral-Emissivity Land-Cover Classification Fusing Visible and Thermal Infrared Hyperspectral Imagery , 2017, Remote. Sens..

[13]  Paolo Gamba,et al.  Geodesic Flow Kernel Support Vector Machine for Hyperspectral Image Classification by Unsupervised Subspace Feature Transfer , 2016, Remote. Sens..

[14]  Chengquan Huang,et al.  Use of a dark object concept and support vector machines to automate forest cover change analysis , 2008 .

[15]  Suming Jin,et al.  A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011. , 2017 .

[16]  Melba M. Crawford,et al.  Active Learning: Any Value for Classification of Remotely Sensed Data? , 2013, Proceedings of the IEEE.

[17]  Paolo Gamba,et al.  Supervised and Semi-Supervised Multi-View Canonical Correlation Analysis Ensemble for Heterogeneous Domain Adaptation in Remote Sensing Image Classification , 2017, Remote. Sens..

[18]  J. Townshend,et al.  Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .

[19]  Forrest R. Stevens,et al.  Multitemporal settlement and population mapping from Landsat using Google Earth Engine , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[20]  Damien Sulla-Menashe,et al.  MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .

[21]  Francesca Bovolo,et al.  Classification of Time Series of Multispectral Images With Limited Training Data , 2013, IEEE Transactions on Image Processing.

[22]  Henrik Meilby,et al.  Locally optimized separability enhancement indices for urban land cover mapping: Exploring thermal environmental consequences of rapid urbanization in Addis Ababa, Ethiopia , 2016 .

[23]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[24]  Robert H. Fraser,et al.  Signature extension through space for northern landcover classification: A comparison of radiometric correction methods , 2005 .

[25]  Peng Gong,et al.  Global land cover mapping using Earth observation satellite data: Recent progresses and challenges , 2015 .

[26]  Yu Dong,et al.  An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

[27]  Kebin He,et al.  URBAN AIR POLLUTION IN CHINA: Current Status, Characteristics, and Progress , 2002 .

[28]  X. Tong,et al.  Evaluation of Landsat 8 OLI imagery for unsupervised inland water extraction , 2016 .

[29]  Jinsong Deng,et al.  PCA‐based land‐use change detection and analysis using multitemporal and multisensor satellite data , 2008 .

[30]  Jin Chen,et al.  Global land cover mapping at 30 m resolution: A POK-based operational approach , 2015 .

[31]  Lorenzo Bruzzone,et al.  Active Learning for Domain Adaptation in the Supervised Classification of Remote Sensing Images , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[32]  Mikhail F. Kanevski,et al.  A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification , 2011, IEEE Journal of Selected Topics in Signal Processing.

[33]  Thomas Esch,et al.  Urban Footprint Processor—Fully Automated Processing Chain Generating Settlement Masks From Global Data of the TanDEM-X Mission , 2013, IEEE Geoscience and Remote Sensing Letters.

[34]  Francesca Bovolo,et al.  Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[35]  Xiaohua Tong,et al.  Optimized Sample Selection in SVM Classification by Combining with DMSP-OLS, Landsat NDVI and GlobeLand30 Products for Extracting Urban Built-Up Areas , 2017, Remote. Sens..

[36]  C. Deng,et al.  BCI: A biophysical composition index for remote sensing of urban environments , 2012 .

[37]  Wataru Takeuchi,et al.  Stripe Noise Reduction in MODIS Data by Combining Histogram Matching With Facet Filter , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[38]  Peijun Du,et al.  Information fusion techniques for change detection from multi-temporal remote sensing images , 2013, Inf. Fusion.

[39]  C. Lahariya.  The state of the world population 2007: unleashing the potential of urban growth. , 2008, Indian pediatrics.

[40]  Naoto Yokoya,et al.  Performance Evaluation of Downscaling Sentinel-2 Imagery for Land Use and Land Cover Classification by Spectral-Spatial Features , 2017, Remote. Sens..

[41]  Xuehong Chen,et al.  An automated approach for updating land cover maps based on integrated change detection and classification methods , 2012 .

[42]  A. Frick,et al.  A Framework for the Long-term Monitoring of Urban Green Volume Based on Multi-temporal and Multi-sensoral Remote Sensing Data , 2019, Journal of Geovisualization and Spatial Analysis.

[43]  Peijun Du,et al.  Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With Limited Training Samples , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[44]  D. Lu,et al.  Change detection techniques , 2004 .

[45]  Arnon Karnieli,et al.  Monitoring desertification by remote sensing using the Tasselled Cap transform for long-term change detection , 2016, Natural Hazards.

[46]  Lorenzo Bruzzone,et al.  Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances , 2016, IEEE Geoscience and Remote Sensing Magazine.

[47]  Peijun Du,et al.  An automatic approach for urban land-cover classification from Landsat-8 OLI data , 2015 .

[48]  Yuyu Zhou,et al.  A global record of annual urban dynamics (1992–2013) from nighttime lights , 2018, Remote Sensing of Environment.

[49]  Huadong Guo,et al.  A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[50]  R. DeFries,et al.  Deforestation driven by urban population growth and agricultural trade in the twenty-first century , 2010 .

[51]  Lorenzo Bruzzone,et al.  An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection , 1995, IEEE Trans. Geosci. Remote. Sens..

[52]  Qiang Yang,et al.  A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.

[53]  Giovanna Trianni,et al.  Urban Mapping in Landsat Images Based on Normalized Difference Spectral Vector , 2014, IEEE Geoscience and Remote Sensing Letters.

[54]  M. Friedl,et al.  Mapping global urban areas using MODIS 500-m data: new methods and datasets based on 'urban ecoregions'. , 2010 .

[55]  Xiaoling Chen,et al.  Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes , 2006 .

[56]  Karen C. Seto,et al.  A Robust Method to Generate a Consistent Time Series From DMSP/OLS Nighttime Light Data , 2016, IEEE Transactions on Geoscience and Remote Sensing.