SSCNN-S: A Spectral-Spatial Convolution Neural Network with Siamese Architecture for Change Detection
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
SSCNN-S: A Spectral-Spatial Convolution Neural Network with Siamese Architecture for Change Detection
Authors
Keywords
-
Journal
Remote Sensing
Volume 13, Issue 5, Pages 895
Publisher
MDPI AG
Online
2021-02-28
DOI
10.3390/rs13050895
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Lightweight Spectral–Spatial Feature Extraction and Fusion Network for Hyperspectral Image Classification
- (2020) Linlin Chen et al. Remote Sensing
- Rapid Surface Large-Change Monitoring by Repeat-Pass GEO SAR Multibaseline Interferometry
- (2020) Yuanhao Li et al. IEEE Geoscience and Remote Sensing Letters
- Learning Robust Discriminant Subspace Based on Joint L₂,ₚ- and L₂,ₛ-Norm Distance Metrics
- (2020) Liyong Fu et al. IEEE Transactions on Neural Networks and Learning Systems
- Multi-camera transfer GAN for person re-identification
- (2019) Shuren Zhou et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Assessment of urban environmental change using multi-source remote sensing time series (2000–2016): A comparative analysis in selected megacities in Eurasia
- (2019) Linlin Lu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Learning a Local Manifold Representation Based on Improved Neighborhood Rough Set and LLE for Hyperspectral Dimensionality Reduction
- (2019) Wenbo Yu et al. SIGNAL PROCESSING
- A Review of Change Detection in Multitemporal Hyperspectral Images: Current Techniques, Applications, and Challenges
- (2019) Sicong Liu et al. IEEE Geoscience and Remote Sensing Magazine
- HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification
- (2019) Swalpa Kumar Roy et al. IEEE Geoscience and Remote Sensing Letters
- Nonpeaked Discriminant Analysis for Data Representation
- (2019) Qiaolin Ye et al. IEEE Transactions on Neural Networks and Learning Systems
- Low Rank Component Induced Spatial-Spectral Kernel Method for Hyperspectral Image Classification
- (2019) Le Sun et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm
- (2018) Qiaolin Ye et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Hyperspectral change detection: an experimental comparative study
- (2018) Mahdi Hasanlou et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A Fast Dense Spectral–Spatial Convolution Network Framework for Hyperspectral Images Classification
- (2018) Wenju Wang et al. Remote Sensing
- GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection
- (2018) Qi Wang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Adaptive Image Enhancement using Hybrid Particle Swarm Optimization and Watershed Segmentation
- (2018) N. Mohanapriya et al. INTELLIGENT AUTOMATION AND SOFT COMPUTING
- 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
- Hyperspectral remote sensing image change detection based on tensor and deep learning
- (2018) Fenghua Huang et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- A patch-based convolutional neural network for remote sensing image classification
- (2017) Atharva Sharma et al. NEURAL NETWORKS
- L1-Norm Distance Minimization-Based Fast Robust Twin Support Vector k-Plane Clustering
- (2017) Qiaolin Ye et al. IEEE Transactions on Neural Networks and Learning Systems
- Band Selection-Based Dimensionality Reduction for Change Detection in Multi-Temporal Hyperspectral Images
- (2017) Sicong Liu et al. Remote Sensing
- Spectrally-Spatially Regularized Low-Rank and Sparse Decomposition: A Novel Method for Change Detection in Multitemporal Hyperspectral Images
- (2017) Zhao Chen et al. Remote Sensing
- Feature-Level Change Detection Using Deep Representation and Feature Change Analysis for Multispectral Imagery
- (2016) Hui Zhang et al. IEEE Geoscience and Remote Sensing Letters
- Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images
- (2016) Simon Henrot et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A scene change detection framework for multi-temporal very high resolution remote sensing images
- (2016) Chen Wu et al. SIGNAL PROCESSING
- Hyperspectral anomaly change detection with slow feature analysis
- (2015) Chen Wu et al. NEUROCOMPUTING
- Semi-supervised change detection method for multi-temporal hyperspectral images
- (2015) Yuan Yuan et al. NEUROCOMPUTING
- A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images
- (2011) Francesca Bovolo et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now