High-resolution triplet network with dynamic multiscale feature for change detection on satellite images
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
High-resolution triplet network with dynamic multiscale feature for change detection on satellite images
Authors
Keywords
Change detection, Triplet network, High-resolution images, Dynamic convolution, Remote sensing
Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 177, Issue -, Pages 103-115
Publisher
Elsevier BV
Online
2021-05-16
DOI
10.1016/j.isprsjprs.2021.05.001
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Building Change Detection for Remote Sensing Images Using a Dual-Task Constrained Deep Siamese Convolutional Network Model
- (2021) Yi Liu et al. IEEE Geoscience and Remote Sensing Letters
- A Deep Siamese Network with Hybrid Convolutional Feature Extraction Module for Change Detection Based on Multi-sensor Remote Sensing Images
- (2020) Moyang Wang et al. Remote Sensing
- PGA-SiamNet: Pyramid Feature-Based Attention-Guided Siamese Network for Remote Sensing Orthoimagery Building Change Detection
- (2020) Huiwei Jiang et al. Remote Sensing
- A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
- (2020) Hao Chen et al. Remote Sensing
- A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images
- (2020) Chenxiao Zhang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Pseudo-Siamese Capsule Network for Aerial Remote Sensing Images Change Detection
- (2020) Quanfu Xu et al. IEEE Geoscience and Remote Sensing Letters
- Landslide Inventory Mapping From Bitemporal Images Using Deep Convolutional Neural Networks
- (2019) Tao Lei et al. IEEE Geoscience and Remote Sensing Letters
- End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++
- (2019) Daifeng Peng et al. Remote Sensing
- Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning
- (2019) Haokui Zhang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Saliency-Guided Deep Neural Networks for SAR Image Change Detection
- (2019) Jie Geng et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
- (2019) Hongruixuan Chen et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Street-view change detection with deconvolutional networks
- (2018) Pablo F. Alcantarilla et al. AUTONOMOUS ROBOTS
- Object-Based Change Detection for VHR Images Based on Multiscale Uncertainty Analysis
- (2018) Yongjun Zhang et al. IEEE Geoscience and Remote Sensing Letters
- Deep Learning for Computer Vision: A Brief Review
- (2018) Athanasios Voulodimos et al. Computational Intelligence and Neuroscience
- Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set
- (2018) IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Triplet-Based Semantic Relation Learning for Aerial Remote Sensing Image Change Detection
- (2018) Mengya Zhang et al. IEEE Geoscience and Remote Sensing Letters
- Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images
- (2017) Yang Zhan et al. IEEE Geoscience and Remote Sensing Letters
- Feature learning and change feature classification based on deep learning for ternary change detection in SAR images
- (2017) Maoguo Gong et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A post-classification change detection method based on iterative slow feature analysis and Bayesian soft fusion
- (2017) Chen Wu et al. REMOTE SENSING OF ENVIRONMENT
- Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network
- (2017) Ying Li et al. Remote Sensing
- A new change-detection method in high-resolution remote sensing images based on a conditional random field model
- (2016) Guo Cao et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Description and validation of a new set of object-based temporal geostatistical features for land-use/land-cover change detection
- (2016) Jose L. Gil-Yepes et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Object-Based Change Detection in Urban Areas: The Effects of Segmentation Strategy, Scale, and Feature Space on Unsupervised Methods
- (2016) Lei Ma et al. Remote Sensing
- Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
- (2016) Liangpei Zhang et al. IEEE Geoscience and Remote Sensing Magazine
- Automatic change detection in high-resolution remote-sensing images by means of level set evolution and support vector machine classification
- (2014) Guo Cao et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Object-based land cover change detection for cross-sensor images
- (2013) Y. Qin et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Change detection from remotely sensed images: From pixel-based to object-based approaches
- (2013) Masroor Hussain et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A comprehensive change detection method for updating the National Land Cover Database to circa 2011
- (2013) Suming Jin et al. REMOTE SENSING OF ENVIRONMENT
- A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images
- (2012) Lorenzo Bruzzone et al. PROCEEDINGS OF THE IEEE
- Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery
- (2010) Dominik Brunner et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Comparison of remote sensing change detection techniques for assessing hurricane damage to forests
- (2009) Fugui Wang et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering
- (2009) Turgay Celik IEEE Geoscience and Remote Sensing Letters
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More