Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data
arXiv 2604.18606•3dc6b296f75e2527236796bb75a74ced034f627d8475c3efadd182cd90c05693
CRTISACMIMORISSentinel-2TomoSARUAV-communicationsalgorithmic-complexity-attackarxivcovariance-completiondeep-unfoldingearth-observationhybrid-beamformingneuromorphic-computingonboard-processingreconfigurable-intelligent-surfaceremote-sensingsignal-processingsparse-FFTthermal-anomaly-detection
Paper metadata
- arXiv ID
- 2604.18606
- Version
- Not specified by this published record
- Category
- Electrical Engineering and Systems Science — Signal Processing (eess.SP)
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Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 3dc6b296f75e2527236796bb75a74ced034f627d8475c3efadd182cd90c05693
- Enrichment time
- 2026-04-22T08:51:42Z
- AI-assisted enrichment
- Yes
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