Hyperspectral image analysis

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (36 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• AeroRIT: A New Scene for Hyperspectral Image Analysis
  17 Dec 2019 2 repositories listed
  We investigate applying convolutional neural network (CNN) architecture to facilitate aerial hyperspectral scene understanding and present a new hyperspectral dataset-AeroRIT-that is large enough for CNN training.
• A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis
  25 Jan 2018 2 repositories listed
  However, graphical models have not been easily accessible to the larger remote sensing community as they are not discussed in standard remote sensing textbooks and not included in the popular remote sensing software and…
• Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis
  22 Jul 2024 1 repository listed
  Recently, the combination of spectral-spatial information and superpixel techniques have addressed some hyperspectral data issues, such as the higher spatial variability of spectral signatures and dimensionality of the…
• Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat
  24 Apr 2024 1 repository listed
  This paper addresses the challenges associated with hyperspectral image (HSI) reconstruction from miniaturized satellites, which often suffer from stripe effects and are computationally resource-limited.
• HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding
  25 Nov 2023 1 repository listed
  To address this limitation, this study rethinks hyperspectral intrinsic image decomposition for classification tasks by introducing deep feature embedding.
• Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification
  7 Apr 2023 1 repository listed
  Subsequently, based on distance covariance descriptor, a dual channel distance covariance representation (DC-DCR) module is proposed for modeling unified spectral-spatial feature representations and exploring…
• Measuring complex refractive index through deeplearning-enabled optical reflectometry
  31 Mar 2023 1 repository listed
  Optical spectroscopy is indispensable for research and development in nanoscience and nanotechnology, microelectronics, energy, and advanced manufacturing.
• Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image Classification
  31 Oct 2022 1 repository listed
  Specifically, based on two similarity measures, we firstly design an adaptive weight addition based spectral vector self-similarity module (AWA-SVSS) in input space and a Euclidean distance based feature vector…
• A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation
  28 Mar 2022 1 repository listed
  We equipped the MS functional with a novel robust distribution-dependent indicator function designed to handle the characteristic challenges of hyperspectral data.
• Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification
  15 Mar 2021 1 repository listed
  To this end, we frame the problem of unsupervised band selection as a Markov decision process, propose an effective method to parameterize it, and finally solve the problem by deep reinforcement learning.
• Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis
  28 Jul 2020 1 repository listed
  In addition, in order to have a comparison with conventional clustering algorithms, HESSC’s performance is compared with K-means and FCM.
• Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders
  20 Jul 2019 1 repository listed
  Hyperspectral image analysis has become an important topic widely researched by the remote sensing community.
• Comparison of VCA and GAEE algorithms for Endmember Extraction
  27 May 2018 1 repository listed
  Endmember Extraction is a critical step in hyperspectral image analysis and classification.