IEEE_TGRS_PDBSNet and IEEE_GRSL_PUNNet

IEEE_TGRS_PDBSNet
32
Emerging
IEEE_GRSL_PUNNet
29
Experimental
Maintenance 2/25
Adoption 6/25
Maturity 16/25
Community 8/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 9/25
Stars: 20
Forks: 2
Downloads: —
Commits (30d): 0
Language: Python
License: GPL-2.0
Stars: 7
Forks: 1
Downloads: —
Commits (30d): 0
Language: Python
License: GPL-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About IEEE_TGRS_PDBSNet

DegangWang97/IEEE_TGRS_PDBSNet

[TGRS 2023 ESI Highly Cited Paper (TOP 1%)] PDBSNet: Pixel-Shuffle Downsampling Blind-Spot Reconstruction Network for Hyperspectral Anomaly Detection

This tool helps geospatial analysts and remote sensing specialists identify unusual or unexpected objects within hyperspectral satellite imagery. You input a hyperspectral image, and it outputs an 'anomaly score' map, highlighting pixels that deviate significantly from their surroundings. This is particularly useful for tasks like environmental monitoring or defense applications where spotting irregularities is critical.

remote-sensing hyperspectral-imaging geospatial-analysis environmental-monitoring target-detection

About IEEE_GRSL_PUNNet

DegangWang97/IEEE_GRSL_PUNNet

[GRSL 2024] Global Feature-Injected Blind-Spot Network for Hyperspectral Anomaly Detection

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IEEE_TGRS_PDBSNet and IEEE_TGRS_DirectNet

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