Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection

Sea Ice Change Detection in SAR Images Based on Convolutional-Wavelet Neural Networks

(2019) Feng Gao et al.   IEEE Geoscience and Remote Sensing Letters

PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features

(2019) Xinzheng Zhang et al.   Remote Sensing

Transferred Deep Learning for Sea Ice Change Detection From Synthetic-Aperture Radar Images

(2019) Yunhao Gao et al.   IEEE Geoscience and Remote Sensing Letters

An object-based convolutional neural network (OCNN) for urban land use classification

(2018) Ce Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images

(2018) Fang Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep Learning and Superpixel Feature Extraction Based on Contractive Autoencoder for Change Detection in SAR Images

(2018) Ning Lv et al.   IEEE Transactions on Industrial Informatics

Joint Deep Learning for land cover and land use classification

(2018) Ce Zhang et al.   REMOTE SENSING OF ENVIRONMENT

SAR Image Change Detection Using PCANet Guided by Saliency Detection

(2018) Mengke Li et al.   IEEE Geoscience and Remote Sensing Letters

Imbalanced Learning-Based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net

(2018) Rongfang Wang et al.   IEEE Geoscience and Remote Sensing Letters

Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery

(2017) Fulin Luo et al.   Remote Sensing

Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet

(2016) Feng Gao et al.   IEEE Geoscience and Remote Sensing Letters

Classification of Polarimetric SAR Images Using Multilayer Autoencoders and Superpixels

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

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

(2016) Ross Girshick et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine

(2016) Feng Gao et al.   Journal of Applied Remote Sensing

A Likelihood-Based SLIC Superpixel Algorithm for SAR Images Using Generalized Gamma Distribution

(2016) Huanxin Zou et al.   SENSORS

Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks

(2016) Maoguo Gong et al.   IEEE Transactions on Neural Networks and Learning Systems

Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint

(2015) Yong-Qiang Zhao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

PCANet: A Simple Deep Learning Baseline for Image Classification?

(2015) Tsung-Han Chan et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Concurrent Self-Organizing Maps for Supervised/Unsupervised Change Detection in Remote Sensing Images

(2014) Victor-Emil Neagoe et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Fuzzy Clustering With a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images

(2013) Maoguo Gong et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Robust Recovery of Subspace Structures by Low-Rank Representation

(2012) Guangcan Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering

(2011) Maoguo Gong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering

(2009) Turgay Celik   IEEE Geoscience and Remote Sensing Letters