arXiv Computer Vision
Hyperspectral Unmixing using a Structured Linear Mixing Model with Additive Spectral Variability
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arXiv Computer Vision
Sep 21
MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition
The paper introduces MultiHU‑TD, an interpretable framework for multifeature hyperspectral unmixing that employs tensor decomposition and incorporates the abundance sum‑to‑one constraint via an ADMM algorithm. It extends previous models by adding mathematical morphology and neighborhood patch analysis, and provides detailed mathematical, physical, and graphical interpretations linked to the extended linear mixing model. Experiments on real hyperspectral images demonstrate the model’s interpretability and effectiveness, with code released on GitHub.
arXiv Computer Vision
Sep 2
Agentic Multimodal Models for Environmental Hyperspectral Unmixing
The paper presents an agentic framework that uses a large vision‑language model to refine hyperspectral unmixing results from existing modular pipelines. By iteratively gathering spectral and spatial evidence through tools such as spectral‑library retrieval and abundance‑map visualization, the agent merges or discards endmembers and re‑estimates abundances. Experiments on HYDICE Urban, Jasper Ridge, and Stonewall Playa datasets show consistent improvements in endmember cardinality and overall decomposition quality across multiple pipelines, while remaining competitive with end‑to‑end methods.
arXiv Computer Vision
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Benchmarking Hyperspectral Foundation Models for Hyperspectral Unmixing
arXiv:2609.28283v1 Announce Type: new Abstract: Several foundation models dedicated to hyperspectral images have recently been made available. These models are trained on large unlabeled datasets and...
arXiv Machine Learning
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A Provably-Correct and Robust Convex Model for Smooth Separable NMF
arXiv:2511. 07109v2 Announce Type: replace-cross Abstract: Nonnegative matrix factorization (NMF) is a linear dimensionality reduction technique for nonnegative data, with applications such as hyperspectral unmixing and topic modeling.
Hugging Face Trending Papers
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HyperSAM: A Promptable Foundation Model for Hyperspectral Remote Sensing
Hyperspectral remote sensing provides dense spectral measurements that are indispensable for material-level Earth observation, yet the construction of a general-purpose hyperspectral foundation model...
arXiv Computer Vision
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From Proper Scoring Rules and Edge Biases to Mumford-Shah Models: Robust Unsupervised Hyperspectral Image Segmentation
arXiv:2610.27958v1 Announce Type: new Abstract: Hyperspectral images provide a rich representation of the underlying spectrum for each pixel, allowing for a pixel-wise classification/segmentation int...