Mural Anomaly Region Detection Algorithm Based on Hyperspectral Multiscale Residual Attention Network
Source abstract
Abstract
Mural paintings hold significant historical information and possess substantial artistic and cultural value. However, murals are inevitably damaged by natural environmental factors such as wind and sunlight, as well as by hum... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Traditional Chinese Medicine Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (41)
Show source-provided references
1. Hyperspectral anomaly detection using deep learning: A review
2. Sanxingdui cultural relics recognition algorithm based on hyperspectral multi-network fusion
3. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution10.1109/29.60107 ↗
4. Analysis and optimizations of global and local versions of the RX algorithm for anomaly detection in hyperspectral data10.1109/JSTARS.2013.2238609 ↗
5. Global and local real-time anomaly detectors for hyperspectral remote sensing imagery10.3390/rs70403966 ↗
6. Recursive RX with extended multi-attribute profiles for hyperspectral anomaly detection10.3390/rs15030589 ↗
7. Hyperspectral anomaly detection by the use of background joint sparse representation10.1109/JSTARS.2015.2437073 ↗
8. Robust recovery of subspace structures by low-rank representation10.1109/TPAMI.2012.88 ↗
9. Hyperspectral anomaly detection through spectral unmixing and dictionary-based low-rank decomposition10.1109/TGRS.2018.2818159 ↗
10. Anomaly detection in hyperspectral images through spectral unmixing and low rank decomposition
11. Hyper-Laplacian regularized low-rank tensor decomposition for hyperspectral anomaly detection
12. Prior-based tensor approximation for anomaly detection in hyperspectral imagery10.1109/TNNLS.2020.3038659 ↗
13. Spectral-spatial stacked autoencoders based on low-rank and sparse matrix decomposition for hyperspectral anomaly detection10.1016/j.infrared.2018.06.001 ↗
14. Spectral constraint adversarial autoencoders approach to feature representation in hyperspectral anomaly detection10.1016/j.neunet.2019.08.012 ↗
15. Hyperspectral anomaly detection with robust graph autoencoders
16. Unsupervised pixel-wise hyperspectral anomaly detection via autoencoding adversarial networks10.1109/LGRS.2021.3049711 ↗
17. Weakly supervised discriminative learning with spectral constrained generative adversarial network for hyperspectral anomaly detection10.1109/TNNLS.2021.3082158 ↗
18. Deep feature aggregation network for hyperspectral anomaly detection10.1109/TIM.2024.3470008 ↗
19. GT-HAD: Gated transformer for hyperspectral anomaly detection10.1109/TNNLS.2024.3409182 ↗
20. Image anomalies: A review and synthesis of detection methods10.1007/s10851-019-00885-0 ↗
21. Transferred deep learning for anomaly detection in hyperspectral imagery10.1109/LGRS.2017.2657818 ↗
22. Transferred CNN based on tensor for hyperspectral anomaly detection10.1109/LGRS.2019.2962582 ↗
23. Extraction and analysis algorithms for sanxingdui cultural relics based on hyperspectral imaging10.1016/j.compeleceng.2023.108982 ↗
24. Attention-aware spectral difference representation for hyperspectral anomaly detection
25. Deep convolutional neural networks for hyperspectral image classification10.1155/2015/258619 ↗
26. Deep feature extraction and classification of hyperspectral images based on convolutional neural networks10.1109/TGRS.2016.2584107 ↗
27. Spectral-spatial residual network for hyperspectral image classification: A 3-D deep learning framework10.1109/TGRS.2017.2755542 ↗
28. Hyperspectral image classification based on residual dense network
29. Hyperspectral image classification using deep matrix capsules
30. Exploring the relationship between center and neighborhoods: Central vector oriented self-similarity network for hyperspectral image classification10.1109/TCSVT.2022.3218284 ↗
31. Deep cross-domain few-shot learning for hyperspectral image classification
32. Graph information aggregation cross-domain few-shot learning for hyperspectral image classification10.1109/TNNLS.2022.3185795 ↗
33. Coastal zone extraction algorithm based on multilayer depth features for hyperspectral images10.1109/TGRS.2023.3321478 ↗
34. Hyperspectral image classification using groupwise separable convolutional vision transformer network
35. A spatial-spectral transformer for hyperspectral image classification based on global dependencies of multi-scale features10.3390/rs16020404 ↗
36. GraphGST: Graph generative structure-aware transformer for hyperspectral image classification
37. Chen · IEEE Trans. Geosci. Remote Sens. · 2024 · 62 · 1
38. Group normalization
39. Spatial pyramid pooling in deep convolutional networks for visual recognition10.1109/TPAMI.2015.2389824 ↗
40. Deep residual learning for image recognition
41. CBAM: Convolutional block attention module