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1.发明授权公开(公告)号：US10656018B2
公开(公告)日：2020-05-19
申请号：US16465079
申请日：2018-05-18
Inventor： Sangwoo Oh , Tae-Sung Kim , Won-Soo Kang , Moonjin Lee , Tae-Byung Chun
IPC: G01J3/28 , G01J3/42 , G01N21/25 , G01N21/55 , G06K9/00 , G06K9/62 , G06T7/00 , G06T7/11 , G06K9/32 , G06K9/46 , G06T17/05
Abstract: A method for detecting a shipwrecked vessel and drown victims by using an aerial hyperspectral image, according to the present invention, comprises the steps of: (a) allowing an image reception unit to receive an observed aerial hyperspectral image, check whether the received aerial hyperspectral image is suitable for detection analysis, and extract observation information, and location information and a reflectance value for each pixel with respect to the detected shipwrecked vessel and drown victims; (b) allowing an image analysis unit to analyze spectral characteristic similarity between a spectral reflection value of a target object and an observed reflection value by using pre-constructed spectral library information and extract constituent materials and an occupation ratio for each pixel of the hyperspectral image, thereby classifying a detection result; and (c) allowing an image visualization unit to display the received hyperspectral image, locations of the detected shipwrecked vessel and drown victims, and detailed information of the detection result.
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公开(公告)号：US11830248B2
公开(公告)日：2023-11-28
申请号：US17999202
申请日：2021-08-24
Inventor： Dongmin Seo , Sangwoo Oh
IPC: G06V20/10 , G06V10/762 , G06V10/774 , G06V10/764
CPC classification number: G06V20/194 , G06V10/762 , G06V10/764 , G06V10/774
Abstract: Disclosed is a method for processing hyperspectral data for identifying a marine object including configuring a learning dataset for identifying a marine object using hyperspectral data; analyzing the dataset using an analysis algorithm; managing pixels constituting the object using the analysis result; and constructing learning data using pixel data. According to the present invention, according to the accumulation of the hyperspectral data, it is possible to learn and relearn a hyperspectral data-based marine object recognition model that recognizes marine objects shown as noise in machine learning clustering.
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公开(公告)号：US11715286B2
公开(公告)日：2023-08-01
申请号：US17999386
申请日：2021-08-24
Inventor： Dongmin Seo , Sangwoo Oh
IPC: G06K9/00 , G06N3/00 , G06V10/774 , G06V20/10 , G06V10/26
CPC classification number: G06V10/7747 , G06V10/273 , G06V20/194
Abstract: Disclosed is a method for recognizing a marine object based on hyperspectral data including collecting target hyperspectral data; preprocessing the target hyperspectral data; and detecting and identifying an object included in the target hyperspectral data based on a marine object detection and identification model, trained through learning of the detection and identification of the marine object. According to the present invention, the preprocessing and processing of the hyperspectral data collected in real time according to a communication state may be performed in the sky or on the ground.
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公开(公告)号：US10803590B2
公开(公告)日：2020-10-13
申请号：US16470531
申请日：2018-05-16
Inventor： Sangwoo Oh , Tae-Sung Kim , Won-Soo Kang , Moonjin Lee , Tae-Byung Chun
Abstract: A multiple-wavelength image analysis electro-optical system for detecting a disabled ship and persons overboard of the present invention is a multiple-wavelength image analysis electro-optical system for detecting a disabled ship and persons overboard configured to have an input part 10 provided with an ultra-low light camera 3, a short-wavelength infrared image sensor 5, a medium-wavelength infrared image sensor 7, and a long-wavelength infrared image sensor 9; a signal processing part 20 for receiving and processing data of the input part 10; a display part 30 for receiving and displaying data of the signal processing part 20; a storage part 40 for storing data of the signal processing part 20 and the display part 30; and a control part 90 provided with a camera control board 50 and a drive control board 60 for controlling the input part 10, signal processing part 20, the display part 30 and the storage part 40.
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