Related references
Note: Only part of the references are listed.Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks
Michael Wurm et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
Identifying a Slums' Degree of Deprivation from VHR Images Using Convolutional Neural Networks
Alireza Ajami et al.
REMOTE SENSING (2019)
Deep learning in remote sensing applications: A meta-analysis and review
Lei Ma et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
Image based classification of slums, built-up and non-built-up areas in Kalyan and Bangalore, India
Elena Ranguelova et al.
EUROPEAN JOURNAL OF REMOTE SENSING (2019)
Deprivation pockets through the lens of convolutional neural networks
Jiong Wang et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Transfer learning approach to map urban slums using high and medium resolution satellite imagery
Deepank Verma et al.
HABITAT INTERNATIONAL (2019)
Simulating slum growth in Lagos: An integration of rule based and empirical based model
Olabisi S. Badmos et al.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2019)
Fully Convolutional Networks for Semantic Segmentation of Very High Resolution Remotely Sensed Images Combined With DSM
Weiwei Sun et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)
Recurrent Multiresolution Convolutional Networks for VHR Image Classification
John Ray Bergado et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Change detection based on Faster R-CNN for high-resolution remote sensing images
Qing Wang et al.
REMOTE SENSING LETTERS (2018)
Application of the trajectory error matrix for assessing the temporal transferability of OBIA for slum detection
Jati Pratomo et al.
EUROPEAN JOURNAL OF REMOTE SENSING (2018)
The Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator
Monika Kuffer et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2018)
Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru
Debraj Roy et al.
CITIES (2018)
Deep Fully Convolutional Networks for the Detection of Informal Settlements in VHR Images
Claudio Persello et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
The Use of Landscape Metrics and Transfer Learning to Explore Urban Villages in China
Hui Liu et al.
REMOTE SENSING (2017)
Exploring the Potential of Machine Learning for Automatic Slum Identification from VHR Imagery
Juan C. Duque et al.
REMOTE SENSING (2017)
Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks
Nicholus Mboga et al.
REMOTE SENSING (2017)
Good Practices for Object-Based Accuracy Assessment
Julien Radoux et al.
REMOTE SENSING (2017)
Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network
Gang Fu et al.
REMOTE SENSING (2017)
Deep Learning in Remote Sensing
Xiao Xiang Zhu et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2017)
Extraction of Slum Areas From VHR Imagery Using GLCM Variance
Monika Kuffer et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2016)
Semantic Labeling of Aerial and Satellite Imagery
Sakrapee Paisitkriangkrai et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2016)
Slums from Space15 Years of Slum Mapping Using Remote Sensing
Monika Kuffer et al.
REMOTE SENSING (2016)
The study of slums as social and physical constructs: challenges and emerging research opportunities
Ron Mahabir et al.
REGIONAL STUDIES REGIONAL SCIENCE (2016)
Uncertainty analysis for image interpretations of urban slums
Divyani Kohli et al.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2016)
Slum types and adaptation strategies: identifying policy-relevant differences in Bangalore
Anirudh Krishna et al.
ENVIRONMENT AND URBANIZATION (2014)
Automated detection of slum area change in Hyderabad, India using multitemporal satellite imagery
Oleksandr Kit et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2013)
Transferability of Object-Oriented Image Analysis Methods for Slum Identification
Divyani Kohli et al.
REMOTE SENSING (2013)
An ontology of slums for image-based classification
Divyani Kohli et al.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2012)
Assessing the accuracy of land cover change with imperfect ground reference data
Giles M. Foody
REMOTE SENSING OF ENVIRONMENT (2010)
Accuracy assessment on multi-temporal land-cover change detection using a trajectory error matrix
Baolin Li et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2009)