METHODS OF DETERMINING FIELD BOUNDARIES IN SATELLITE IMAGE
Keywords:
contour, satellite, object, image, filter, pixel, approach, method, algorithm.Abstract
In recent years, the rapid assimilation of valuable agricultural information from satellite images has been observed. However, manual analysis of these images takes a lot of time and energy. Accurate segmentation of object contours is extremely important in automating image processing, especially in accurate segmentation and recognition. This research work is devoted to the comparative analysis of the methods of determining the contours of the image object, in which the evaluation was carried out by pixel comparison to determine the most effective method, and a new approach was proposed based on the image quality index. Based on this approach, object contours in satellite images were used.
References
Acharjya, P.P., Das, R., & Ghoshal, D. (2012). Study and Comparison of Different Edge Detectors for Image Segmentation. Global journal of computer science and technology.
Mamatov, N. S., Niyozmatova, N. A., Jalelova, M. M., Samijonov, A. N., and Tojiboyeva, Sh. X., “Methods for improving contrast of agricultural images,” E3S Web Conf., vol. 401, p. 4020, 2023. DOI: 10.1051/e3sconf/202340104020
Mamatov, N.S., Pulatov G. G., Jalelova M.M., “Image contrast enhancement method and contrast evaluation criteria optimal pair” Digital Transformation and Artificial Intelligence. Vol. 1 No. 2 (2023). Vol. 1 No. 2 (2023). https://dtai.tsue.uz/index.php/dtai/article/view/v1i225/v1i225
Маматов, Н., Султанов, П., Юлдашев, Ю., & Жалелова, М. (2023). Методы повышения контрастности изображений при мультиспиральной компьютерной томографии. Евразийский журнал академических исследований, 3(9), 125-132.
Маматов, Н., Султанов, П., Жалелова, М., & Тожибоева, Ш. (2023). Критерии оценки качества медицинских изображений, полученных на мультиспиральном компьютерном томографе. Евразийский журнал медицинских и естественных наук, 3(9), 66-77.
Niyozmatova, N. A., Mamatov, N., Samijonov, A., Rahmonov, E., & Juraev, S. (2020, September). Method for selecting informative and non-informative features. In IOP Conference Series: Materials Science and Engineering (Vol. 919, No. 4, p. 042013). IOP Publishing
Samijonov, A., Mamatov, N., Niyozmatova, N. A., Yuldoshev, Y., & Asraev, M. (2020, September). Gradient method for determining non-informative features on the basis of a homogeneous criterion with a positive degree. In IOP Conference Series: Materials Science and Engineering (Vol. 919, No. 4, p. 042011). IOP Publishing.
Niyozmatova N. A. et al. Classification Based On Decision Trees And Neural Networks //2021 International Conference on Information Science and Communications Technologies (ICISCT). – IEEE, 2021. – С. 01-04.
Mamatov, N., Samijonov, A., Niyozmatova, N., Samijonov, B., Erejepov, K., & Jamalov, O. (2023, August). Algorithm for Selecting Optimal Features in Face Recognition Systems. In 2023 19th International Asian School-Seminar on Optimization Problems of Complex Systems (OPCS) (pp. 59-64). IEEE.
Shavkat, F., Narzillo, M., & Nilufar, N. (2019). Developing methods and algorithms for forming of informative features’ space on the base K-types uniform criteria. International Journal of Recent Technology and Engineering, 8(2S11), 3784-3786.
Shavkat, F., Narzillo, M., & Abdurashid, S. (2019). Selection of significant features of objects in the classification data processing. International Journal of Recent Technology and Engineering, 8(2 Special Issue 11), 3790-3794.
Ниёзматова, Н. А., Маматов, Н. С., Отахонова, Б. И., Бобоев, Л. Б., & Самижонов, А. Н. Матнларни таснифлашда информатив белгилар мажмуасини аниқлаш усуллари.
Narzillo, M., Bakhtiyor, A., Shukrullo, K., Bakhodirjon, O., & Gulbahor, A. (2021, November). Peculiarities of face detection and recognition. In 2021 International Conference on Information Science and Communications Technologies (ICISCT) (pp. 1-5). IEEE.
Narzillo, M., Abdurashid, S., Nilufar, N., Musokhon, D., & Erkin, R. (2020). Definition of line formula on images. In Journal of Physics: Conference Series (Vol. 1441, No. 1, p. 012150). IOP Publishing.
Fazilov S., Mamatov N. Formation an informative description of recognizable objects //Journal of Physics: Conference Series. – 2019. – С. 012043-012043.
N Mamatov et al 2020 J. Phys.: Conf. Ser. 1441 012149
Mamatov N., Samijonov A., Niyozmatova N. Determination of non-informative features based on the analysis of their relationships //Journal of Physics Conference Series. – 2020. – Т. 1441. – №. 1. – С. 012149.
Mamatov N., Samijonov A., Yuldashev Z. Selection of features based on relationships //Journal of Physics: Conference Series. – IOP Publishing, 2019. – Т. 1260. – №. 10.
Mamatov N. et al. The choice of informative features based on heterogeneous functionals //IOP Conference Series: Materials Science and Engineering. – IOP Publishing, 2020. – Т. 919. – №. 4. – С. 042009.
Mamatov, N. S. "Heuristic criteria for the informativeness of signs." Materials of the XVII International Scientific and Methodical Conference “Informatics: Problems, Methodology, Technologies”. Vol. 3. 2017.
Fazilov, Sh.X and Mamatov, N.S (2018) "Formation an informative description of objects.," Chemical Technology, Control and Management: Vol. 2018: Iss. 3, Article 22.
Fazilov S. et al. Reducing the dimensionality of feature space in pattern recognition tasks //Journal of Physics: Conference Series. – IOP Publishing, 2020. – Т. 1441. – №. 1. – С. 012139.
Bekmuratov D. K. Selecting classifiers to ensure the quality and reliability of pattern recognition at class intersection //Journal of Physics: Conference Series. – IOP Publishing, 2021. – Т. 2032. – №. 1. – С. 012034.
Niyozmatova N. A. et al. Unconditional discrete optimization of linear-fractional function “-1”-order //IOP Conference Series: Materials Science and Engineering. – IOP Publishing, 2020. – Т. 862. – №. 4. – С. 042028.
Mittal, Anish & Moorthy, Anush & Bovik, Alan. (2012). No-Reference Image Quality Assessment in the Spatial Domain. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 21. 10.1109/TIP.2012.2214050.
Additional Files
Published
How to Cite
License
Copyright (c) 2023 Narzullo Mamatov, Malika Jalelova, Shaxzoda Tojiboyeva, Boymirzo Samijonov
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
