Related references
Note: Only part of the references are listed.TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation
Kecheng Chen et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
Bispace Domain Adaptation Network for Remotely Sensed Semantic Segmentation
Wei Liu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series
David Frantz et al.
REMOTE SENSING OF ENVIRONMENT (2021)
Multiset Feature Learning for Highly Imbalanced Data Classification
Xiao-Yuan Jing et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)
From W-Net to CDGAN: Bitemporal Change Detection via Deep Learning Techniques
Bin Hou et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Toward Automatic Building Footprint Delineation From Aerial Images Using CNN and Regularization
Shiqing Wei et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
SciPy 1.0: fundamental algorithms for scientific computing in Python
Pauli Virtanen et al.
NATURE METHODS (2020)
Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
Hongruixuan Chen et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
LiDAR-guided dense matching for detecting changes and updating of buildings in Airborne LiDAR data
K. Zhou et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
Developing a method to estimate building height from Sentinel-1 data
Xuecao Li et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Domain Adaption for Fine-Grained Urban Village Extraction From Satellite Images
Qian Shi et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images
Chenxiao Zhang et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
An automatic change detection method for monitoring newly constructed building areas using time-series multi-view high-resolution optical satellite images
Xin Huang et al.
REMOTE SENSING OF ENVIRONMENT (2020)
EANet: Edge-Aware Network for the Extraction of Buildings from Aerial Images
Guang Yang et al.
REMOTE SENSING (2020)
Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss
Xianwei Zheng et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
An end-to-end shape modeling framework for vectorized building outline generation from aerial images
Qi Chen et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
Change Detection in Unlabeled Optical Remote Sensing Data Using Siamese CNN
Rachid Hedjam et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)
Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set
Shunping Ji et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Automatic building extraction from high-resolution aerial images and LiDAR data using gated residual refinement network
Jianfeng Huang et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
Building Footprint Extraction from High-Resolution Images via Spatial Residual Inception Convolutional Neural Network
Penghua Liu et al.
REMOTE SENSING (2019)
Multitask learning for large-scale semantic change detection
Rodrigo Caye Daudt et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2019)
Building Instance Change Detection from Large-Scale Aerial Images using Convolutional Neural Networks and Simulated Samples
Shunping Ji et al.
REMOTE SENSING (2019)
Improving public data for building segmentation from Convolutional Neural Networks (CNNs) for fused airborne lidar and image data using active contours
David Griffiths et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images
Bo Du et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
A survey on Image Data Augmentation for Deep Learning
Connor Shorten et al.
JOURNAL OF BIG DATA (2019)
Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters
Yongyang Xu et al.
REMOTE SENSING (2018)
Multi-level monitoring of subtle urban changes for the megacities of China using high-resolution multi-view satellite imagery
Xin Huang et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Building extraction from high-resolution satellite images in urban areas: recent methods and strategies against significant challenges
Mohsen Ghanea et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2016)
New ecological redline policy (ERP) to secure ecosystem services in China
Yang Bai et al.
LAND USE POLICY (2016)
China must protect high-quality arable land
Xiangbin Kong
NATURE (2014)
A Multidirectional and Multiscale Morphological Index for Automatic Building Extraction from Multispectral GeoEye-1 Imagery
Xin Huang et al.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2011)
Crowdsourcing geospatial data
Christian Heipke
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2010)
Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge
Mourad Bouziani et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2010)
A new map of global urban extent from MODIS satellite data
A. Schneider et al.
ENVIRONMENTAL RESEARCH LETTERS (2009)
Building a geographic info-structure for sustainable development planning on a small island developing state
Reed M. Perkins et al.
LANDSCAPE AND URBAN PLANNING (2006)
Detecting building changes from multitemporal aerial stereopairs
F Jung
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2004)