A dual pixel-level and subpatch-level network with cross-temporal super resolution for change detection across spatial resolutions

No abstract is available for this paper.

• Publication year

  2026

• Venue

  International Journal of Applied Earth Observation and Geoinformation

• Publication date

  2026-02-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.jag.2026.105134
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Dual-Branch Cross-Resolution Interaction Learning Network for Change Detection at Different Resolutions

  2025cited by this paper
• Assessing the Accuracy of a 2021 Kansas–Oklahoma Tallgrass Ecosystem Burn Area Map

  2025cited by this paper
• Landsat-Derived Rainfed and Irrigated-Area Product for Conterminous United States for the Year 2020 (LRIP30 CONUS 2020) Using Supervised and Unsupervised Machine Learning on the Cloud

  2025cited by this paper
• Efficient Coral Survey Using Aerial Remote Sensing and Multi-modal Segmentation for Large-Scale Ecological Assessment

  2025cited by this paper
• STRobustNet: Efficient Change Detection via Spatial–Temporal Robust Representations in Remote Sensing

  2025cited by this paper
• FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection

  2025cited by this paper
• An Unsupervised Transformer-Based Multivariate Alteration Detection Approach for Change Detection in VHR Remote Sensing Images

  2024cited by this paper
• Land Use Change in the Yangtze River Economic Belt during 2010 to 2020 and Future Comprehensive Prediction Based on Markov and ARIMA Models

  2024cited by this paper
• ESR-DMNet: Enhanced Super-Resolution-Based Dual-Path Metric Change Detection Network for Remote Sensing Images With Different Resolutions

  2024cited by this paper
• TTST: A Top-k Token Selective Transformer for Remote Sensing Image Super-Resolution

  2024cited by this paper
• Multi-stage progressive change detection on high resolution remote sensing imagery

  2024cited by this paper
• MF-SRCDNet: Multi-feature fusion super-resolution building change detection framework for multi-sensor high-resolution remote sensing imagery

  2023cited by this paper
• EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution

  2023cited by this paper
• SDCDNet: A Semi-Dual Change Detection Network Framework With Super-Weak Label for Remote Sensing Image

  2023cited by this paper
• Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs

  2023cited by this paper
• Cost-efficient information extraction from massive remote sensing data: When weakly supervised deep learning meets remote sensing big data

  2023cited by this paper
• Building change detection using the parallel spatial-channel attention block and edge-guided deep network

  2023cited by this paper
• SPCNet: A Subpixel Convolution-Based Change Detection Network for Hyperspectral Images With Different Spatial Resolutions

  2022cited by this paper
• Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images

  2022cited by this paper
• TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation

  2022cited by this paper
• SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network

  2021cited by this paper
• A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Images

  2021cited by this paper
• Super-Resolution-Based Change Detection Network With Stacked Attention Module for Images With Different Resolutions

  2021cited by this paper
• Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions

  2021cited by this paper
• MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution

  2021cited by this paper
• A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection

  2021cited by this paper
• Weakly Supervised Semantic Change Detection via Label Refinement Framework

  2021cited by this paper
• Difference Enhancement and Spatial-Spectral Non-Local Network for Change Detection in VHR Remote Sensing Images

  2021cited by this paper
• Semi-Supervised Remote Sensing Image Semantic Segmentation via Consistency Regularization and Average Update of Pseudo-Label

  2020cited by this paper
• SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images

  2020cited by this paper
• A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

  2020cited by this paper
• FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

  2020cited by this paper
• L-UNet: An LSTM Network for Remote Sensing Image Change Detection

  2020cited by this paper
• Weakly Supervised Change Detection Based on Edge Mapping and SDAE Network in High-Resolution Remote Sensing Images

  2020cited by this paper
• Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data

  2019cited by this paper
• Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency

  2019cited by this paper
• Change detection techniques for remote sensing applications: a survey

  2019cited by this paper
• ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

  2018cited by this paper
• CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS

  2018cited by this paper
• Fully Convolutional Siamese Networks for Change Detection

  2018cited by this paper
• Detecting Damaged Building Regions Based on Semantic Scene Change from Multi-Temporal High-Resolution Remote Sensing Images

  2017cited by this paper
• Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks

  2016cited by this paper
• Change detection based on deep feature representation and mapping transformation for multi-spatial-resolution remote sensing images

  2016cited by this paper
• Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

  2016cited by this paper
• Building Change Detection in Multitemporal Very High Resolution SAR Images

  2015cited by this paper
• Deeply-Recursive Convolutional Network for Image Super-Resolution

  2015cited by this paper
• Image Super-Resolution Using Deep Convolutional Networks

  2014cited by this paper
• Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

  2014cited by this paper
• Multi-Decadal Mangrove Forest Change Detection and Prediction in Honduras, Central America, with Landsat Imagery and a Markov Chain Model

  2013cited by this paper
• Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach

  2013cited by this paper
• A comprehensive change detection method for updating the National Land Cover Database to circa 2011

  2013cited by this paper
• Comparison of remote sensing change detection techniques for assessing hurricane damage to forests

  2010cited by this paper
• Change vector analysis: A technique for the multispectral monitoring of land cover and condition

  1998cited by this paper
• Review Article Digital change detection techniques using remotely-sensed data

  1989cited by this paper
• Monitoring land-cover change by principal component analysis of multitemporal Landsat data.

  1980cited by this paper

• No citing papers are available for this paper.