{
  "id": 15399,
  "url": "https://link.springer.com/article/10.1007/s10462-026-11655-x",
  "title": "HyperTransUrban: a vision transformer-driven survey of change detection using hyperspectral imaging",
  "summary": "In the twenty-first century, urbanization has become one of the most transformative processes, driving significant changes in land use, infrastructure, and environmental conditions. These dynamics underscore the need for accurate urban planning, environmental monitoring, and disaster management. Traditional approaches utilize optical and multispectral remote sensing imagery and often fail to distinguish spectrally similar urban materials. In contrast, hyperspectral imaging improves classificatio",
  "authors": null,
  "category": "research",
  "topics": "environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-31T00:00:00.000Z",
  "fetched_at": "2026-08-01T05:10:57.676Z",
  "source_slug": "x-artificial-intelligence-review",
  "source_name": "Artificial Intelligence Review",
  "source_homepage": "https://link.springer.com/journal/10462",
  "ethics_ai_record_url": "https://ethics.ai/record/15399",
  "original_url": "https://link.springer.com/article/10.1007/s10462-026-11655-x",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}