# Candy-CY/Hyperspectral-Image-Classification-Models

A hyperspectral remote sensing image classification model for inclusion and reproduction.

Repository: https://github.com/Candy-CY/Hyperspectral-Image-Classification-Models
Canonical: https://ross.abutalabs.com/products/hyperspectral-image-classification-models
Language: Python
License Family: other
Topics: hsi, hsi-classification
Last push: 2026-07-14T12:29:48+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 92, release rhythm 35, longevity 100
- inputs: {"age_days": 1607, "days_push": 50, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1077, forks 120 (observed 2026-08-28T04:03:29.625293+00:00)

## What it is
A curated collection of 86 hyperspectral remote sensing image classification models reproduced from published papers. It serves as a reference repository for researchers studying hyperspectral image (HSI) classification.

## Use cases
- classify hyperspectral remote sensing images
- find implementations of HSI classification papers
- reproduce hyperspectral image classification models
- benchmark deep learning models on HSI datasets
- learn about hyperspectral image classification methods

## When to choose
- you need reference implementations of many HSI classification models in one place
- you are surveying or comparing hyperspectral classification methods
- you want to reproduce results from HSI classification papers

## When to avoid
- you need a production-ready or maintained classification library with an API
- you need a license permitting redistribution or commercial use
- you need a single polished model rather than a research collection

## Facets
- artifact type: dataset
- maturity: active
- function: machine-learning, deep-learning, image-processing, computer-vision
- domain: machine-learning, computer-vision, image-processing
- platform: python
- tags: hyperspectral-imaging, remote-sensing, image-classification, model-collection, research

## Member repositories
- Candy-CY/Hyperspectral-Image-Classification-Models (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:29.625293+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:53:12.891459+00:00, confidence not recorded.
  - readme: https://github.com/Candy-CY/Hyperspectral-Image-Classification-Models (fetched 2026-08-28T04:03:29.625293+00:00, sha 3f623f5ce2d3)
- Data as of 2026-08-30T08:39:29.467469+00:00.