{"total":28,"rows":[{"id":"2206.13188","title":"Self-supervised Learning in Remote Sensing: A Review","created":"2022-06-27","cited_by_count":137,"area":null},{"id":"2211.08129","title":"Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works","created":"2022-11-15","cited_by_count":24,"area":null},{"id":"2308.09375","title":"Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package","created":"2023-08-18","cited_by_count":12,"area":null},{"id":"2209.11002","title":"Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing","created":"2022-09-22","cited_by_count":11,"area":null},{"id":"2201.01953","title":"Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling","created":"2022-01-06","cited_by_count":8,"area":null},{"id":"2104.08409","title":"Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing","created":"2021-04-17","cited_by_count":6,"area":null},{"id":"2203.09992","title":"Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images","created":"2022-03-18","cited_by_count":4,"area":null},{"id":"2311.03725","title":"DeepInspect: An AI-Powered Defect Detection for Manufacturing Industries","created":"2023-11-07","cited_by_count":4,"area":null},{"id":"2307.00269","title":"AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising","created":"2023-07-01","cited_by_count":3,"area":null},{"id":"2312.13127","title":"Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing","created":"2023-12-20","cited_by_count":3,"area":null},{"id":"2403.04526","title":"Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders","created":"2024-03-07","cited_by_count":3,"area":null},{"id":"2304.11320","title":"SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images","created":"2023-04-22","cited_by_count":2,"area":null},{"id":"2310.02340","title":"Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing","created":"2023-10-03","cited_by_count":2,"area":null},{"id":"2109.13748","title":"Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation","created":"2021-09-28","cited_by_count":1,"area":null},{"id":"2204.07713","title":"GAUSS: Guided Encoder-Decoder Architecture for Hyperspectral Unmixing with Spatial Smoothness","created":"2022-04-16","cited_by_count":1,"area":null},{"id":"2505.20902","title":"Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2512.12445","title":"Knowledge-Guided Masked Autoencoder with Linear Spectral Mixing and Spectral-Angle-Aware Reconstruction","created":"2025-12-13","cited_by_count":1,"area":null},{"id":"2102.05713","title":"SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing","created":"2021-02-10","cited_by_count":0,"area":null},{"id":"2303.08156","title":"Nonlinear Hyperspectral Unmixing based on Multilinear Mixing Model using Convolutional Autoencoders","created":"2023-03-14","cited_by_count":0,"area":null},{"id":"2402.03398","title":"Deep Nonlinear Hyperspectral Unmixing Using Multi-task Learning","created":"2024-02-05","cited_by_count":0,"area":null},{"id":"2406.06742","title":"An Elliptic Kernel Unsupervised Autoencoder-Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2503.08745","title":"Neural Network for Blind Unmixing: a novel MatrixConv Unmixing (MCU) Approach","created":"2025-03-11","cited_by_count":0,"area":null},{"id":"2510.22607","title":"SWAN: Self-supervised Wavelet Neural Network for Hyperspectral Image Unmixing","created":"2025-10-26","cited_by_count":0,"area":null},{"id":"2512.05674","title":"Hyperspectral Unmixing with 3D Convolutional Sparse Coding and Projected Simplex Volume Maximization","created":"2025-12-05","cited_by_count":0,"area":null},{"id":"2602.16357","title":"Optical Inversion and Spectral Unmixing of Spectroscopic Photoacoustic Images with Physics-Informed Neural Networks","created":"2026-02-18","cited_by_count":0,"area":null},{"id":"2603.09037","title":"WS-Net: Weak-Signal Representation Learning and Gated Abundance Reconstruction for Hyperspectral Unmixing via State-Space and Weak Signal Attention Fusion","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2603.29438","title":"Polyhedral Unmixing: Bridging Semantic Segmentation with Hyperspectral Unmixing via Polyhedral-Cone Partitioning","created":"2026-03-31","cited_by_count":0,"area":null},{"id":"2604.22324","title":"A Brain-Inspired Deep Separation Network for Single Channel Raman Spectra Unmixing","created":"2026-04-24","cited_by_count":0,"area":null}],"next_cursor":null}