SpecSure: A Unified Pipeline and Cross-Model Benchmark Platform for Hyperspectral Image Classification
- Designed a unified experimental platform to address fragmented preprocessing, training, inference, and evaluation workflows in hyperspectral image classification research.
- Built a lightweight ENVI + AI integrated pipeline with unified data interfaces, model invocation, and evaluation protocols for end-to-end experiment management.
- Developed a cross-model benchmark mechanism supporting standardized comparison and reproducible evaluation of SVM, Random Forest, 3D-CNN, HybridSN, and related models.