Deep Learning Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net

Detection of short-term urban land use changes by combining SAR time series images and spectral angle mapping

(2019) Zhuokun Pan et al.   Frontiers of Earth Science

Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data

(2019) Weijia Li et al.   Remote Sensing

Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks

(2019) Michael Wurm et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Multi-branch convolutional neural network for built-up area extraction from remote sensing image

(2019) Yihua Tan et al.   NEUROCOMPUTING

End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++

(2019) Daifeng Peng et al.   Remote Sensing

Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network

(2019) Yaning Yi et al.   Remote Sensing

Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery

(2018) Bo Huang et al.   REMOTE SENSING OF ENVIRONMENT

Object-Based Features for House Detection from RGB High-Resolution Images

(2018) Renxi Chen et al.   Remote Sensing

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

(2018) Pengbin Zhang et al.   SENSORS

Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami

(2018) Yanbing Bai et al.   Remote Sensing

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

(2017) Emmanuel Maggiori et al.   IEEE TRANSACTIONS ON GEOSCIENCE 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

Unsupervised Deep Feature Learning for Urban Village Detection from High-Resolution Remote Sensing Images

(2017) Yansheng Li et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Exploring the Potential of Machine Learning for Automatic Slum Identification from VHR Imagery

(2017) Juan Duque et al.   Remote Sensing

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

Extraction of Slum Areas From VHR Imagery Using GLCM Variance

(2016) Monika Kuffer et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Slums from Space—15 Years of Slum Mapping Using Remote Sensing

(2016) Monika Kuffer 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

A new segmentation method for very high resolution imagery using spectral and morphological information

(2015) Jing Liu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing

(2015) Sebastian van der Linden et al.   Remote Sensing

Nearest-neighbor diffusion-based pan-sharpening algorithm for spectral images

(2014) Weihua Sun et al.   OPTICAL ENGINEERING

Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture

(2012) V.F. Rodriguez-Galiano et al.   REMOTE SENSING OF ENVIRONMENT

The Impacts of Rapid Urbanization on the Thermal Environment: A Remote Sensing Study of Guangzhou, South China

(2012) Yongzhu Xiong et al.   Remote Sensing

Object based image analysis for remote sensing

(2009) T. Blaschke   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING