# Hyperspectral Image Classification on CASI University of Houston (test) Source: [Hyperspectral Image Classification on CASI University of Houston (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:54:25.860Z Evaluation of Hyperspectral Image Classification performance on the test split of the CASI University of Houston dataset. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Hyperspectral Image Classification | | Dataset (including any stated split) | CASI University of Houston (test) | | Metric | Overall Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Overall Accuracy](): Higher is better; unit: PERCENT. - [Class 1 Accuracy](): Higher is better; unit: PERCENT. - [Class 2 Accuracy](): Higher is better; unit: PERCENT. - [Class 3 Accuracy](): Higher is better; unit: PERCENT. - [Class 4 Accuracy](): Higher is better; unit: PERCENT. - [Class 5 Accuracy](): Higher is better; unit: PERCENT. - [Class 6 Accuracy](): Higher is better; unit: PERCENT. - [Class 7 Accuracy](): Higher is better; unit: PERCENT. - [Class 8 Accuracy](): Higher is better; unit: PERCENT. - [Class 9 Accuracy](): Higher is better; unit: PERCENT. - [Class 10 Accuracy](): Higher is better; unit: PERCENT. - [Class 11 Accuracy](): Higher is better; unit: PERCENT. - [Class 12 Accuracy](): Higher is better; unit: PERCENT. - [Class 13 Accuracy](): Higher is better; unit: PERCENT. - [Class 14 Accuracy](): Higher is better; unit: PERCENT. - [Class 15 Accuracy](): Higher is better; unit: PERCENT. - [Average Accuracy](): Higher is better; unit: PERCENT. - [Kappa Coefficient](): Higher is better; unit: SCALAR. ## Recorded results | Method | Overall Accuracy | Result date | Report paper | | --- | --- | --- | --- | | FreeNet | 86.61 | Not recorded | 68fa68b71e209131cea1dabd | | DFFN | 84.56 | Not recorded | 68fa68b71e209131cea1dabd | | Gabor-CNN | 84.32 | Not recorded | 68fa68b71e209131cea1dabd | | S-CNN | 82.34 | Not recorded | 68fa68b71e209131cea1dabd | | CMTL | 81.38 | Not recorded | 69802f61a8b01e76cc8e1498 | | 3D-GAN | 78.16 | Not recorded | 68fa68b71e209131cea1dabd | | GMTN | 77.2 | Not recorded | 69802f61a8b01e76cc8e1498 | | SVM | 76.88 | Not recorded | 68fa68b71e209131cea1dabd | ### FreeNet Overall Accuracy: 86.61. Result ID: 698d7e9a8b517eb43321ef17. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Input Patch Strategy":"Patch-free"}. This record does not assert independent reproduction. ### DFFN Overall Accuracy: 84.56. Result ID: 698d7e9a8b517eb43321ef15. [Reporting paper]() Recorded evaluation configuration: {"Input Patch Strategy":"Patch-based"}. This record does not assert independent reproduction. ### Gabor-CNN Overall Accuracy: 84.32. Result ID: 698d7e9a8b517eb43321ef14. [Reporting paper]() Recorded evaluation configuration: {"Input Patch Strategy":"Patch-based"}. This record does not assert independent reproduction. ### S-CNN Overall Accuracy: 82.34. Result ID: 698d7e9a8b517eb43321ef13. [Reporting paper]() Recorded evaluation configuration: {"Input Patch Strategy":"Patch-based"}. This record does not assert independent reproduction. ### CMTL Overall Accuracy: 81.38. Result ID: 699774285698665ec4c83e59. [Reporting paper]() Recorded evaluation configuration: {"labeled samples per class":5}. This record does not assert independent reproduction. ### 3D-GAN Overall Accuracy: 78.16. Result ID: 698d7e9a8b517eb43321ef16. [Reporting paper]() Recorded evaluation configuration: {"Input Patch Strategy":"Patch-based"}. This record does not assert independent reproduction. ### GMTN Overall Accuracy: 77.2. Result ID: 699774285698665ec4c83e58. [Reporting paper]() Recorded evaluation configuration: {"labeled samples per class":5}. This record does not assert independent reproduction. ### SVM Overall Accuracy: 76.88. Result ID: 698d7e9a8b517eb43321ef12. [Reporting paper]() Recorded evaluation configuration: {"Input Patch Strategy":"Patch-based"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.