• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.11c
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• pp.513-520
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• 2000

An integrated grader which measures soluble solid content, color and weight of fresh apples was developed by NAMRI. The prototype grader consists of the near infrared spectroscopy and machine vision system. Image processing system and an algorithm to evaluate color were developed to speed up the color evaluation of apples. To avoid the light glare and specular reflection, an half-spherical illumination chamber was designed and fabricated to detect the color images of spherical-shaped apples more precisely. A color revision model based on neural network was developed. Near-infrared(NIR) spectroscopy system using NIR reflectance method developed by Lee et al(1998) of NAMRI was used to evaluate soluble solid content. In order to observe the performance of the grader, tests were conducted on conditions that there are 3 classes in weight sorting, 4 classes in combination of color and soluble solid content, and thus 12 classes in combined sorting. The average accuracy in weight, color and soluble solid content is more than about 90 % with the capacity of 3 fruits per second.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.6
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• pp.583-589
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• 2020

Recently, the utility of UAS (Unmanned Aerial System) for a smart farm using various sensors and ICT (Information & Communications Technology) is expected. In particular, it has proven its effectiveness as an outdoor crop monitoring method through various indices and is being studied in various fields. This study analyzes damage to crops caused by natural disasters and measures the damage area of rice plants. To this end, data is acquired using BG-NIR (Blue Green_Near Infrared Red) and RGB sensors, and image analysis and NDWI (Normalized Difference Water Index) index performed to review crop damage caused by in the rainy season. Also, point cloud data based on image analysis is generated, and damage is measured by comparing data before and after the typhoon through an inspection map. As a result of the study, the growth and rainy season damage of rice was examined through NDWI index analysis, and the damage area caused by typhoon was measured by analysis of the inspection map.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.9
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• pp.345-350
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• 2018

This study is an algorithm for detecting vein pattern features important for finger vein recognition. The feature detection algorithm is important because it greatly affects recognition results in pattern recognition. The recognition rate is degraded because the reference is changed according to the finger position change. In addition, the image obtained by irradiating the finger with infrared light is difficult to separate the image background and the blood vessel pattern, and the detection time is increased because the image preprocessing process is performed. For this purpose, the presented algorithm can be performed without image preprocessing, and the detection time can be reduced. SWDA (Down Slope Trace Waveform) algorithm is applied to the finger vein images to detect the fingertip position and vein pattern. Because of the low infrared transmittance, relatively dark vein images can be detected with minimal detection error. In addition, the fingertip position can be used as a reference in the classification stage to compensate the decrease in the recognition rate. If we apply algorithms proposed to various recognition fields such as palm and wrist, it is expected that it will contribute to improvement of biometric feature detection accuracy and reduction of recognition performance time.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.453-454
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• 2003

Most research materials (data), which are used for the study of digital mapping and digital elevation model (DEM) in the field of Remote Sensing and Aerial Photogrammetry are aerial photographs and satellite images. Additionally, they are also used for National land mapping, National land management, environment management, military purposes, resource exploration and Earth surface analysis etc. Although aerial photographs have high resolution, the data, which they contain, are not used for environment exploration that requires continuous observation because of problems caused by its coastline, as well as single - spectral and long-term periodic image. In addition to this, they are difficult to interpret precisely because Satellite Images are influenced by atmospheric phenomena at the time of photographing, and have by far much lower resolution than existing aerial photographs, while they have a great practical usability because they are mulitispectral images. The PKNU 2 is an aerial photographing system that is made to compensate with the weak points of existing aerial photograph and satellite images. It is able to take pictures of very high resolution using a color digital camera with 6 million pixels and a color infrared camera, and can take perpendicular photographs because PKNU 2 system has equipment that makes the cameras stay level. Moreover, it is very cheap to take pictures by using super light aircraft as a platform. It has much higher resolution than exiting aerial photographs and satellite images because it flies at a low altitude about 800m. The PKNU 2 can obtain multispectral images of visible to near infrared band so that it is good to manage environment and to make a classified diagram of vegetation.

• Journal of Urban Science
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• v.13 no.1
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• pp.33-42
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• 2024

In recent years, drones are expanding their use as highly efficient smart support equipment in all industries, including military as well as urban engineering planning and design, construction, In particular, the advancement of drones and GNSS(global navigational satellite system) positioning services, the high efficiency of visible color image RGB sensors, and various selective convergence between thermal infrared sensors and lidar scanning visibility sensors are becoming a key source of spatial information acquisition in the field of construction information modeling(BIM) and 3D digital twin modeling. This study seeks to improve the efficiency of field and office works in drone aerial photography in 3D modeling of urban facilities. For these, after acquiring the 3D location of the drone aerial photography point in two positioning modes, standard GNSS surveying and GNSS RTK precise positioning, the 3D productions were reproduced through the SfM(structure from motion) image analysis process, and the accuracy and efficiency of the work process were compared and considered. As a result of the study, when GNSS RTK precision positioning (VRS ; virtual reference service) is applied during outdoor filming, it was possible to reproduce and demonstrate the effectiveness of the digital twin modeling within the allowable range by omitting the GNSS surveying for additional ground control points and geo-tagging for the real-world model conversion of 3D image analysis results in image processing.

• Journal of the Korean Society for Nondestructive Testing
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• v.32 no.3
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• pp.276-283
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• 2012

In this study, it was studies the utilization of LIT(lock-in infrared thermography) which can detect defects in welded parts of ship and offshore structures. Quantitative analysis was used through methods of filtering and texture measurement of image processing techniques to find the optimized experimental condition. We verified reliability in our methods by applying image processing techniques in order to normalize evaluations of comparative images that show phase difference. In addition, low to mid exposure showed good results whereas high exposure did not provide significant results in regards to intensity of light exposure on surface. Lock-in frequency was satisfactory around 0.1 Hz regardless of intensity of light source we had. In addition, having the integration time of thermography camera inversely proportional to intensity of exposed light source during the experiment allowed good outcome of results.

• Journal of Space Technology and Applications
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• v.3 no.2
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• pp.154-164
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• 2023

In space exploration, spectroscopic observation is useful for understanding objects' composition and physical properties. There are various methods for analyzing spectral data, and there are differences depending on the object and the wavelength. This paper introduces a method for analyzing visible & nearinfrared (VNIR) spectral data, which is mainly applied in lunar exploration. The main analysis methods include false color ratio image processing, reflectance pattern analysis, integrated band depth (IBD) processing, and continuum removal as preprocessing before analysis. These spectroscopic analysis methods help to understand the mineral properties of the lunar surface in the VNIR region and can be applied to other celestial bodies such as Mars.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.3
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• pp.31-36
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• 2017

In this paper, designed infrared (IR) emitter device for infrared scene projector (IRSP) which is used for evaluating the performance of IR sensor systems was simulated by using finite element analysis (FEA) tool and fabricated by using MEMS (Micro Electro-Mechanical System) technology. The performance of the fabricated IR emitter unit device was characterized in the vacuum chamber by using IR image microscope for MWIR($3{\sim}5{\mu}m$), which showed 423K apparent temperature (Tapp) and 22msec time constant (${\tau}$).

• Journal of Biosystems Engineering
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• v.42 no.3
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• pp.163-169
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• 2017

Purpose: This study was performed to evaluate the feasibility of using an infrared thermography technique for phenotype analysis of pepper seedlings exposed to a low-temperature environment. Methods: We employed an active thermography technique to evaluate the thermal response of pepper seedlings exposed to low-temperature stress. The temperatures of pepper leaves grown in low-temperature conditions ($5^{\circ}C$, relative humidity [RH] 50%) for four periods (6, 12, 24, and 48 h) were measured in the experimental setting ($23^{\circ}C$, RH 70%) as soon as pepper seedling samples were taken out from the low-temperature environment. We also assessed the visible images of pepper seedling samples that were exposed to low-temperature stress to estimate appearance changes. Results: The greatest appearance change was observed for the low-temperature stressed pepper seedlings that were exposed for 12 h, and the temperature from these pepper seedling leaves was the highest among all samples. In addition, the thermal image of low-temperature stressed pepper seedlings for 6 h exhibited the lowest temperature. Conclusions: We demonstrated that the leaf withering owing to the water deficiency that occurred under low-temperature conditions could induce an increase in temperature in plant leaves using the infrared thermography technique. These results suggested that the time-resolved and averaged thermal signals or temperatures of plants could be significantly associated with the physiological or biochemical characteristics of plants exposed to low-temperature stress.

• Korean Journal Plant Pathology
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• v.12 no.1
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• pp.132-136
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• 1996

오존에 의한 식물체의 가시피해 발현 이전에 나타나는 비가시적 피해를 찾아내기 위하여 적외선 열화상장치(infrared thermography)를 이용하여 하루 8시간씩 0.3 ppm 오존에 노출된 나팔꽃(Ipomoea purpurea)잎표면의 온도분포 변화를 조사하였다. 노출 첫날에는 온도분포의 뚜렷한 변화를 볼 수 없었다. 노출 2일째, 오존 노출 2시간 결과후, 완전히 자란 제3엽의 특정 부분에서 급격한 온도분포 변화를 보였으며, 그로부터 약 4시간 경과 후에 동일 지점에서 최초의 가시적 피해가 발생했다. 급격한 온도분포 변화를 보인 부분과 최초 가시피해가 발생한 부분이 일치한 점은 가시피해 발생과 그 이전의 온도분포 변화가 밀접하게 상관되어 있다는 것을 의미한다고 하겠다. 잎표면의 열화상 분석방법을 대기오염원에 의한 식물체의 가시피해 발현 이전에 진행되고 있는 비가시적 반응의 조기진단에 적용할 수 있으며 생태환경 친화적인 대기 환경관리를 위한 대기오염원은 배출조절용 생체반응기(biosensor)로 이용 가능하겠다.