STAR-Net: An Interpretable Model-Aided Network for Remote Sensing Image Denoising

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Jingjing, Jin, Jiashun, Xiu, Xianchao, Zhang, Jianhua, Liu, Wanquan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bi-Level Unsupervised Feature Selection
by: Liu, Jingjing, et al.
Published: (2025)

Lightweight Deep Unfolding Networks with Enhanced Robustness for Infrared Small Target Detection
by: Liu, Jingjing, et al.
Published: (2025)

Robust Orthogonal NMF with Label Propagation for Image Clustering
by: Liu, Jingjing, et al.
Published: (2025)

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing
by: Chen, Hui, et al.
Published: (2025)

Data-Adaptive Transformed Bilateral Tensor Low-Rank Representation for Clustering
by: Chen, Hui, et al.
Published: (2025)

RS-TinyNet: Stage-wise Feature Fusion Network for Detecting Tiny Objects in Remote Sensing Images
by: Jiang, Xiaozheng, et al.
Published: (2025)

Adaptive Multi-Order Graph Regularized NMF with Dual Sparsity for Hyperspectral Unmixing
by: Chen, Hui, et al.
Published: (2025)

MATCNN: Infrared and Visible Image Fusion Method Based on Multi-scale CNN with Attention Transformer
by: Liu, Jingjing, et al.
Published: (2025)

SDCoNet: Saliency-Driven Multi-Task Collaborative Network for Remote Sensing Object Detection
by: Qi, Ruo, et al.
Published: (2026)

SAda-Net: A Self-Supervised Adaptive Stereo Estimation CNN For Remote Sensing Image Data
by: Hirner, Dominik, et al.
Published: (2024)

STAND: Semantic Anchoring Constraint with Dual-Granularity Disambiguation for Remote Sensing Image Change Captioning
by: Gong, Yanpei, et al.
Published: (2026)

EHCTNet: Enhanced Hybrid of CNN and Transformer Network for Remote Sensing Image Change Detection
by: Yang, Junjie, et al.
Published: (2025)

A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images
by: Yu, Dawen, et al.
Published: (2024)

Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion
by: Cao, Yice, et al.
Published: (2024)

Adaptive Multi-Scale Correlation Meta-Network for Few-Shot Remote Sensing Image Classification
by: Kaushish, Anurag, et al.
Published: (2026)

BAFNet: Bilateral Attention Fusion Network for Lightweight Semantic Segmentation of Urban Remote Sensing Images
by: Wang, Wentao, et al.
Published: (2024)

LSKNet: A Foundation Lightweight Backbone for Remote Sensing
by: Li, Yuxuan, et al.
Published: (2024)

Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification
by: Han, Zhu, et al.
Published: (2024)

CIP-Net: Continual Interpretable Prototype-based Network
by: Di Valerio, Federico, et al.
Published: (2025)

From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing
by: Sun, Xintian, et al.
Published: (2024)

HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
by: Xu, Jonathan, et al.
Published: (2023)

Good Representation, Better Explanation: Role of Convolutional Neural Networks in Transformer-Based Remote Sensing Image Captioning
by: Das, Swadhin, et al.
Published: (2025)

Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
by: Zhang, Weidong, et al.
Published: (2025)

A Progressive Image Restoration Network for High-order Degradation Imaging in Remote Sensing
by: Feng, Yujie, et al.
Published: (2024)

Vision Foundation Models in Remote Sensing: A Survey
by: Lu, Siqi, et al.
Published: (2024)

Residual Denoising Diffusion Models
by: Liu, Jiawei, et al.
Published: (2023)

A Billion-scale Foundation Model for Remote Sensing Images
by: Cha, Keumgang, et al.
Published: (2023)

Noise-Adaptive Regularization for Robust Multi-Label Remote Sensing Image Classification
by: Burgert, Tom, et al.
Published: (2026)

Estimating Physical Information Consistency of Channel Data Augmentation for Remote Sensing Images
by: Burgert, Tom, et al.
Published: (2024)

NN-Copula-CD: A Copula-Guided Interpretable Neural Network for Change Detection in Heterogeneous Remote Sensing Images
by: Li, Weiming, et al.
Published: (2023)

Mask Approximation Net: A Novel Diffusion Model Approach for Remote Sensing Change Captioning
by: Sun, Dongwei, et al.
Published: (2024)

Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification
by: Zhuang, Weiwei, et al.
Published: (2026)

Classification-Denoising Networks
by: Thiry, Louis, et al.
Published: (2024)

OTI: A Model-free and Visually Interpretable Measure of Image Attackability
by: Liang, Jiaming, et al.
Published: (2026)

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
by: Vishniakov, Kirill, et al.
Published: (2023)

RSAdapter: Adapting Multimodal Models for Remote Sensing Visual Question Answering
by: Wang, Yuduo, et al.
Published: (2023)

Kronecker Product Feature Fusion for Convolutional Neural Network in Remote Sensing Scene Classification
by: Cheng, Yinzhu
Published: (2024)

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks
by: Sharma, Aaryam
Published: (2025)

Deconstructing Denoising Diffusion Models for Self-Supervised Learning
by: Chen, Xinlei, et al.
Published: (2024)