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Wenping Ma et al.
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Tao Lei et al.
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Sudipan Saha et al.
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Huihui Dong et al.
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Yu Lei et al.
IEEE ACCESS (2019)
Street-view change detection with deconvolutional networks
Pablo F. Alcantarilla et al.
AUTONOMOUS ROBOTS (2018)
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Yongjun Zhang et al.
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Pengyuan Lv et al.
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Iterative feature mapping network for detecting multiple changes in multi-source remote sensing images
Tao Zhan et al.
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Dual-Dense Convolution Network for Change Detection of High-Resolution Panchromatic Imagery
Wahyu Wiratama et al.
APPLIED SCIENCES-BASEL (2018)
Change Detection Based on Deep Features and Low Rank
Bin Hou et al.
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Yang Zhan et al.
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Generative Adversarial Networks for Change Detection in Multispectral Imagery
Maoguo Gong et al.
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Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks
Salman H. Khan et al.
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Superpixel-Based Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images
Maoguo Gong et al.
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A post-classification change detection method based on iterative slow feature analysis and Bayesian soft fusion
Chen Wu et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Deep Learning in Remote Sensing
Xiao Xiang Zhu et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2017)
Feature-Level Change Detection Using Deep Representation and Feature Change Analysis for Multispectral Imagery
Hui Zhang et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2016)
A hypergraph-based context-sensitive representation technique for VHR remote-sensing image change detection
Ping Jian et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2016)
A new change-detection method in high-resolution remote sensing images based on a conditional random field model
Guo Cao et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2016)
Description and validation of a new set of object-based temporal geostatistical features for land-use/land-cover change detection
Jose L. Gil-Yepes 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)
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Lei Ma et al.
REMOTE SENSING (2016)
Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks
Martin Langkvist et al.
REMOTE SENSING (2016)
Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection
Haobo Lyu et al.
REMOTE SENSING (2016)
Deep Learning for Remote Sensing Data A technical tutorial on the state of the art
Liangpei Zhang et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2016)
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)
A critical synthesis of remotely sensed optical image change detection techniques
Andrew P. Tewkesbury et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Automatic change detection in high-resolution remote-sensing images by means of level set evolution and support vector machine classification
Guo Cao et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2014)
Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach
Beguem Demir et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2013)
Supervised change detection in VHR images using contextual information and support vector machines
Michele Volpi et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2013)
Object-based land cover change detection for cross-sensor images
Y. Qin et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2013)
Change detection from remotely sensed images: From pixel-based to object-based approaches
Masroor Hussain et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2013)
A comprehensive change detection method for updating the National Land Cover Database to circa 2011
Suming Jin et al.
REMOTE SENSING OF ENVIRONMENT (2013)
Object-based change detection
Gang Chen et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2012)
Unsupervised Change Detection in Multispectral Remotely Sensed Imagery With Level Set Methods
Yakoub Bazi et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2010)
Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering
Turgay Celik
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2009)
Change Detection in Optical Aerial Images by a Multilayer Conditional Mixed Markov Model
Csaba Benedek et al.
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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)
Use of a dark object concept and support vector machines to automate forest cover change analysis
Chengquan Huang et al.
REMOTE SENSING OF ENVIRONMENT (2008)
Land cover change detection at coarse spatial scales based on iterative estimation and previous state information
S Le Hégarat-Mascle et al.
REMOTE SENSING OF ENVIRONMENT (2005)
Automatic analysis of the difference image for unsupervised change detection
L Bruzzone et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2000)
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