Kuis terkait panduan · Sedang Tingkat

AI dalam Kuis Deteksi Situs Arkeologi

Menilai LiDAR arkeologi, deteksi fitur kandidat, survei Maya, verifikasi lapangan, dan perlindungan situs sensitif.

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Mengapa LiDAR sangat berguna untuk mendeteksi lokasi di bawah hutan?

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  1. Mengapa LiDAR sangat berguna untuk mendeteksi lokasi di bawah hutan?
    • Pulsa lasernya melewati celah vegetasi untuk memetakan permukaan tanah
    • Ia menggunakan gelombang radio yang memantulkan artefak logam
    • Ia mendeteksi panas yang dilepaskan oleh api kuno
    • Ini merekam pantulan suara dari ruang bawah tanah
  2. In a proposed archaeological image-classification workflow, what should a model label represent?
    • A permit to excavate without consultation
    • A candidate feature category to investigate, rather than a verified age or cultural attribution
    • A confirmed date independent of other evidence
    • Proof that every unusual shape is human-made
  3. Proyek terkenal manakah yang menggunakan LiDAR untuk mengungkap puluhan ribu bangunan Maya yang tersembunyi?
    • Survei Rosetta
    • Pemindaian Antikythera
    • Survei LiDAR PACUNAM di Guatemala
    • Sensus drone Pompeii
  4. Why can natural or modern landscape features cause errors in an archaeological detection model?
    • Komputer tidak dapat menyimpan koordinat peta
    • Pengujian lapangan dilarang oleh hukum
    • Satelit tidak dapat memotret tempat yang sama dua kali
    • They can resemble the shapes used to identify archaeological candidates
  5. What did the PACUNAM survey add beyond finding isolated buildings?
    • A landscape-scale view of settlements, agricultural modifications and connecting infrastructure
    • A direct written census of every ancient resident
    • A radiocarbon date for every structure
    • A complete translation of all Maya inscriptions
  6. How could repeated imagery be used in a proposed heritage-monitoring workflow?
    • Automatically authorize excavation
    • Flag possible changes for investigation, without establishing their cause from a model score alone
    • Identify every artifact owner without records
    • Prove that every change was caused by looting
  7. In a hypothetical archaeological classifier evaluation, what does precision measure?
    • The fraction of all map pixels stored on disk
    • The age of the oldest detected structure
    • The fraction of flagged candidates that the reference review labels as the target feature
    • The number of laser pulses emitted per second
  8. Why should precise coordinates for newly detected sites be handled carefully?
    • All archaeological coordinates must be public
    • AI detections do not reveal locations
    • Site coordinates have no protection concerns
    • Public location data can expose vulnerable heritage sites to looting or disturbance