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。A Deep Siamese Network with Hybrid Convolutional Feature Extraction Module for Change Detection Based on Multi-sensor Remote Sensing Images
Moyang Wang et al.
REMOTE SENSING (2020)
Coupled Adversarial Training for Remote Sensing Image Super-Resolution
Sen Lei et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
DSSNet: A Simple Dilated Semantic Segmentation Network for Hyperspectral Imagery Classification
Bin Pan et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)
Triplet-Based Semantic Relation Learning for Aerial Remote Sensing Image Change Detection
Mengya Zhang et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2019)
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
Lichao Mou et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Building change detection from remotely sensed images based on spatial domain analysis and Markov random field
Kaibin Zong et al.
JOURNAL OF APPLIED REMOTE SENSING (2019)
Coral Reef Change Detection in Remote Pacific Islands Using Support Vector Machine Classifiers
Justin J. Gapper et al.
REMOTE SENSING (2019)
A PolSAR Change Detection Index Based on Neighborhood Information for Flood Mapping
Sahel Mahdavi et al.
REMOTE SENSING (2019)
The Temporal Dynamics of Slums Employing a CNN-Based Change Detection Approach
Ruoyun Liu et al.
REMOTE SENSING (2019)
Building Stock and Building Typology of Kigali, Rwanda
Felix Bachofer et al.
DATA (2019)
Remote Sensing Image Change Detection Based on Information Transmission and Attention Mechanism
Ruochen Liu et al.
IEEE ACCESS (2019)
Diversity-Promoting Deep Structural Metric Learning for Remote Sensing Scene Classification
Zhiqiang Gong et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs
Gong Cheng et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images
Zhengxia Zou et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images
Jia Liu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Post-Processing Approach for Refining Raw Land Cover Change Detection of Very High-Resolution Remote Sensing Images
Zhiyong Lv et al.
REMOTE SENSING (2018)
Land Cover Change Detection Using Multiple Shape Parameters of Spectral and NDVI Curves
Boyu Liu et al.
REMOTE SENSING (2018)
Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images
Yang Zhan et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Discriminative Deep Metric Learning for Face and Kinship Verification
Jiwen Lu et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Exploring the Potential of Machine Learning for Automatic Slum Identification from VHR Imagery
Juan C. Duque et al.
REMOTE SENSING (2017)
Deep Learning in Remote Sensing
Xiao Xiang Zhu et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2017)
Learning Relationship for Very High Resolution Image Change Detection
Chunlei Huo et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2016)
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
Gong Cheng et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
3D change detection - Approaches and applications
Rongjun Qin et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)
Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks
Maoguo Gong et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)
Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection
Haobo Lyu et al.
REMOTE SENSING (2016)
Building Change Detection in Multitemporal Very High Resolution SAR Images
Carlo Marin et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)
A critical synthesis of remotely sensed optical image change detection techniques
Andrew P. Tewkesbury et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Building Change Detection From Multitemporal High-Resolution Remotely Sensed Images Based on a Morphological Building Index
Xin Huang et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
Spatiotemporal Group Context for Pedestrian Counting
Jinqiao Wang et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2014)
Slow Feature Analysis for Change Detection in Multispectral Imagery
Chen Wu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2014)
Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery
Komeil Rokni et al.
REMOTE SENSING (2014)
A Semisupervised Context-Sensitive Change Detection Technique via Gaussian Process
Keming Chen et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2013)
Change detection of buildings from satellite imagery and lidar data
Jose A. Malpica et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2013)
Multi-Decadal Mangrove Forest Change Detection and Prediction in Honduras, Central America, with Landsat Imagery and a Markov Chain Model
Chi-Farn Chen et al.
REMOTE SENSING (2013)
Change Detection in Optical Aerial Images by a Multilayer Conditional Mixed Markov Model
Csaba Benedek et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2009)
PCA-based land-use change detection and analysis using multitemporal and multisensor satellite data
J. S. Deng et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2008)
A multiple conditional random fields ensemble model for urban area detection in remote sensing optical Images
Ping Zhong et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2007)
Multiple support vector machines for land cover change detection: An application for mapping urban extensions
Hassiba Nemmour et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2006)
A change detection model based on neighborhood correlation image analysis and decision tree classification
J Im et al.
REMOTE SENSING OF ENVIRONMENT (2005)
An image change detection algorithm based on Markov random field models
T Kasetkasem et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2002)
分享论文
