• Title/Summary/Keyword: Image data collection

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Mapping Within-field Variability Using Airborne Imaging Systems: A Case Study from Missouri Precision Agriculture

  • Hong, S.Y.;Sudduth, K.A.;Kitchen, N.R.;Palm, H.L.;Wiebold, W.J.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1049-1051
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    • 2003
  • This study investigated the use of airborne image data to provide estimates of within -field variability in soil properties and crop growth as an alternative to extensive field data collection. Hyperspectral and multispectral images were acquired in 2000, 2001, and 2002 for central Missouri experimental fields. Data were converted to reflectance using chemically-treated reference tarps with known reflectance levels. Geometric distortion of the hyperspectral pushbroom sensor images was corrected with a rubber sheeting transformation. Statistical analyses were used to relate image data to field-measured soil properties and crop characteristics. Results showed that this approach has potential; however, it is important to address a number of implementation issues to insure quality data and accurate interpretations.

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A Study on Body Image, Self-esteem and Self-efficacy of Female Students in College (여대생의 신체상, 자존감 및 자기효능감에 관한 연구)

  • Oh, Hye-Kyung
    • Korean Journal of Adult Nursing
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    • v.15 no.2
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    • pp.278-286
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    • 2003
  • Purpose: This study was designed to analyze the correlation on body image, self-esteem and self-efficacy of Female Students in College. Method: The research population included convenience sample of 696 subjects composed of Female Students in College. Data collection was done from July, 2002 to October, 2002 using a written inquiry. The data were analyzed by using t-test, ANOVA and Pearson correlation coefficient. Result: The results of this study were as follows: 1. The relationship among body image, self-esteem and self-efficacy were found to have statistically significant positive correlations. 2. The difference of body image, self-esteem and self-efficacy according to the characteristics in subjects were found to have statistically significancy of grade, age, personality and degree of adaptation. The difference of body image according to the monthly income of the family was found to be statistically significant. Conclusion: There is a significant correlation between grade, age, personality, and monthly income. Further study needs to be done to validate this study and develop degrees of adaptation to improve body image, self-esteem and self-efficacy.

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Marketing Strategies for Improving Customer Attitude Using Airline Advertising Model: Focusing on Corporate Image and Brand Loyalty

  • OH, Ah-Hyun;PARK, Hye-Yoon
    • Journal of Distribution Science
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    • v.18 no.4
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    • pp.13-26
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    • 2020
  • Purpose: In this study, we will explore how the attributes of the airline's advertising model affect the corporate image and brand loyalty and the medium effect of the corporate image. Research design, data and methodology: Data collection for empirical analysis of this study was conducted online for about seven months from Jan. 2 to July 12, 2019, and was confirmed as part 292 of the final effective sample and used for demonstration analysis. Results: The property of the advertising model shown to have a significant impact in corporate image and brand loyalty. The property of the advertising, reliability and professionalism shown to have an impact in the social responsibility, but attractiveness is its responsibility and brand loyalty. Corporate images have been shown to play a meaningful role in the impact of advertising models on brand loyalty. Conclusions: The attributes of the airline's advertising model are divided into four categories, and reliability has the most influence on the image of a company and the formation of brand loyalty. The impact of the attributes of the advertising model on the relationship between corporate image and brand loyalty was investigated through an empirical analysis, and several implications were derived.

Impact of Increased Revisit Intentions: The Role of Distribution in the Tourism Sector of South Sulawesi

  • Muhammad FACHMI;Zulkifli SULTAN;Yusrab Ardinto SABBAN;Syafruddin SYAFRUDDIN
    • Journal of Distribution Science
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    • v.22 no.7
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    • pp.63-71
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    • 2024
  • Purpose: The main objective of this research is to encourage the increase of local MSME businesses through the sustainable tourism sector in South Sulawesi by proposing a research model that focuses on increasing revisit intention. This, in turn, is expected to stimulate local trade and strengthen tourism attractiveness. Research design, data and methodology: A quantitative research method involving 190 domestic tourist respondents was employed, utilizing a questionnaire for data collection. Structural Equation Modeling (SEM) analysis through AMOS software was applied, and the Sobel test to assess indirect effects. Results: The research findings indicate that memorable customer experiences and travel motivations significantly influence destination image. However, travel motivation does not significantly affect revisit intention. Furthermore, memorable customer experiences and destination image significantly impact revisit intention. Notably, destination image plays a significant mediating role in the relationship between travel motivation and increased revisit intention. Conclusions: Memorable customer experiences and travel motivations directly contribute to the formation of a more positive destination image. Furthermore, memorable customer experiences drive the revisit intention, but travel motivation is not significant. Memorable customer experiences only influence revisit intention through the formed destination image. Additionally, the improvement of memorable customer experience and destination image increased revisit intention.

A Study on the Data Generation and Effectiveness of GAN-Based Object Form Learning (GAN 기반의 물체 형태 학습용 데이터 생성과 유효성에 관한 연구)

  • Choi, Donggyu;Kim, Minyoung;Jang, Jongwook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.44-46
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    • 2022
  • Various object recognition using artificial intelligence basically shows planar results. It is based on classifying objects or identifying what objects are on the image. However, the original object has a three-dimensional shape, not a plane, and although the perception to obtain only simple results from the image does not matter, there is a lot of information that is insufficient when used in various fields. In this paper, checks the method of generating data in various fields of objects and whether it is meaningful by utilizing the characteristics of Layer that generates intermediate results with respect to image generation based on the GAN algorithm. It solves some of the problems in the hardware and collection process for generating existing multi-faceted data, and confirms that it can be utilized after data generation on several limited objects.

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A Study of Image Attributes for Image Database (이미지 데이터베이스 구축을 위한 데이터항목 속성 연구)

  • Kwak Chul-Wan;Lee Eun-Chul
    • Journal of the Korean Society for Library and Information Science
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    • v.32 no.2
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    • pp.169-187
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    • 1998
  • The purpose of the study is to identify what terms are used, how they are categorized, and what they are related each others to search image files. Data collection was conducted through 5 photographies using 22 participants. The study shows that used terms were affected by image contents and size, and pre-iconography, iconology, time, geographical location, and relationship were important for image attributes.

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Research on Reconstruction Technology of Biofilm Surface Based on Image Stacking

  • Zhao, Yuyang;Tao, Xueheng;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.24 no.11
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    • pp.1472-1480
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    • 2021
  • Image stacking technique is one of the key techniques for complex surface reconstruction. The process includes sample collection, image processing, algorithm editing, surface reconstruction, and finally reaching reliable conclusions. Since this experiment is based on laser scanning confocal microscope to collect the original contour information of the sample, it is necessary to briefly introduce the relevant principle and operation method of laser scanning confocal microscope. After that, the original image is collected and processed, and the data is expanded by interpolation method. Meanwhile, several methods of surface reconstruction are listed. After comparing the advantages and disadvantages of each method, one-dimensional interpolation and volume rendering are finally used to reconstruct the 3D model. The experimental results show that the final 3d surface modeling is more consistent with the appearance information of the original samples. At the same time, the algorithm is simple and easy to understand, strong operability, and can meet the requirements of surface reconstruction of different types of samples.

Study on Fashion Sensibility and Emotion through Tattoo Fashion (타투 패션에 따른 패션감성과 감정연구)

  • Kim, Mi-Young;Lee, Kyoung-Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.31 no.3 s.162
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    • pp.331-342
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    • 2007
  • The objective of this study is to provide the basis to planning the design of commercial products and effective image coordination for various situation in investigating the existence of Tattoo with an examination of fashion sensibilities and emotions as well as in analyzing Tattoo fashions which have an effect on the unique image coordinations in the fashion collection. Stimulus pictures have collected from fashion photographs appeared Tattoo expression released on the fashion collection and selected 35 pieces of pictures out of total through the analysing process in many times. Valuation tools have used with 19 pairs of adjective as fashion sensibilities valuation tool and 13 questionnaire as emotion valuation tool. Data has been collected from August 30th to September 17th on the subject of 20's men and women who live in Busan city area and those data has been analyzed by using SPSS statistics package program. The summary and conclusion of verified outcomes on this study are as follows: 1. Main factors of fashion sensibilities about Tattoo fashion are composed of three factors, such as Attractiveness, Visibility, Maturity and those factors have explained by 60.9%. On the other han, the fashion emotions are composed of negative emotion and positive emotion and explained by 66.3%. 2. The image of Tattoo fashion has shown four groups; Sexy, Romantic, Grotesque, Natural. 3. The positioning according to the image of Tattoo fashion has interpreted that X-axis as Grotesque-Romantic, Y-axis as Simple-Dazzling according to design features.

A Study on the Perception of Brand and Advertising Images of Domestic Make-up Products (한국산 색조화장품의 상표 및 광고 이미지 지각)

  • Lee, Ji-Young;Kim, Yong-Sook
    • Korean Journal of Human Ecology
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    • v.8 no.1
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    • pp.5-18
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    • 2005
  • The purposes of this study were to identify brand image and advertising image perception maps of domestic make-up products. A self-administered questionnaire was used for data collection. KYST, CORAN and SPSS PC(Ver. 12.0) were used for data analysis. The results were as follows: 1. Brand images of Etude, Isa Knox, and Laneige were perceived as unique, stimulative, high quality, elegant, modern, and sophisticated. Brand image of Cathycat was perceived highly in high quality, elegant, modern, and sophisticated, but low in unique and stimulative. Brand image of Lac Vert was perceived high in unique and stimulative, but low in high quality, elegant, modern, and sophisticated. Brand images of Hercyna and Vov were the lowest. 2. Advertisement images of Etude was perceived as modern, sophisticated, familiar, and unique, but Lac Vert was perceived adversely, Advertising images of Laneigne and Isa Knox were high in modern, sophisticated and familiar, but low in uniqueness. And advertising images of Hercyna, Cathycat, and Vov were perceived as modern, sophisticated, and familiar.

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Multiple-Shot Person Re-identification by Features Learned from Third-party Image Sets

  • Zhao, Yanna;Wang, Lei;Zhao, Xu;Liu, Yuncai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.2
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    • pp.775-792
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    • 2015
  • Person re-identification is an important and challenging task in computer vision with numerous real world applications. Despite significant progress has been made in the past few years, person re-identification remains an unsolved problem. This paper presents a novel appearance-based approach to person re-identification. The approach exploits region covariance matrix and color histograms to capture the statistical properties and chromatic information of each object. Robustness against low resolution, viewpoint changes and pose variations is achieved by a novel signature, that is, the combination of Log Covariance Matrix feature and HSV histogram (LCMH). In order to further improve re-identification performance, third-party image sets are utilized as a common reference to sufficiently represent any image set with the same type. Distinctive and reliable features for a given image set are extracted through decision boundary between the specific set and a third-party image set supervised by max-margin criteria. This method enables the usage of an existing dataset to represent new image data without time-consuming data collection and annotation. Comparisons with state-of-the-art methods carried out on benchmark datasets demonstrate promising performance of our method.