본 발명은 초분광영상을 이용하여 수심을 추정하는 방법에 관한 것으로, 구체적으로 무인비행체를 이용하여 초분광영상을 획득한 후, 밴드비를 활용하여 회귀식을 설정함으로써, 초분광영상만으로 높은 정확도로 수심을 추정할 수 있으며, 추정된 수심을 이용해 하상의 표고를 구하여 지형을 측량할 수 있음은 물론, 하천의 지형을 측정할 수 있는 범위와 수준에 따른 각각의 방법을 더 제공할 수 있는 지형측량 방법에 관한 것이다.

    The present invention relates to a system and a method for AI-based vehicle sunroof defect detection using deep learning, and more specifically, to a system and a method for AI-based vehicle sunroof defect detection using deep learning, which irradiate a product of a glass or plastic material with lights, detect distortion or inner and outer damages of the product by capturing and analyzing a reflected image of the product, and determine a defect.


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    Title :

    Method for estimation of bathymetry using hyperspectral image


    Additional title:

    초분광영상을 이용한 하천 지형측량 방법


    Publication date :

    2021-10-19


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / B64C AEROPLANES , Flugzeuge / G01J Messen der Intensität, der Geschwindigkeit, der spektralen Zusammensetzung, der Polarisation, der Phase oder der Pulscharakteristik von infrarotem, sichtbarem oder ultraviolettem Licht , MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G09B Unterrichts- oder Vorführungsgeräte , EDUCATIONAL OR DEMONSTRATION APPLIANCES



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