Edge Detection Method Based on Neural Networks for COMS MI Images
Communication, Ocean And Meteorological Satellite (COMS) Meteorological Imager (MI) images are processed for radiometric and geometric correction from raw image data. When intermediate image data are matched and compared with reference landmark images in the geometrical correction process, various...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
The Korean Space Science Society
2016-12-01
|
Series: | Journal of Astronomy and Space Sciences |
Subjects: | |
Online Access: | http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2016/v33n4/OJOOBS_2016_v33n4_313.pdf |
_version_ | 1827392297883402240 |
---|---|
author | Jin-Ho Lee Eun-Bin Park Sun-Hee Woo |
author_facet | Jin-Ho Lee Eun-Bin Park Sun-Hee Woo |
author_sort | Jin-Ho Lee |
collection | DOAJ |
description | Communication, Ocean And Meteorological Satellite (COMS) Meteorological Imager (MI) images are processed for
radiometric and geometric correction from raw image data. When intermediate image data are matched and compared with
reference landmark images in the geometrical correction process, various techniques for edge detection can be applied. It is
essential to have a precise and correct edged image in this process, since its matching with the reference is directly related
to the accuracy of the ground station output images. An edge detection method based on neural networks is applied for the
ground processing of MI images for obtaining sharp edges in the correct positions. The simulation results are analyzed and
characterized by comparing them with the results of conventional methods, such as Sobel and Canny filters. |
first_indexed | 2024-03-08T17:28:07Z |
format | Article |
id | doaj.art-deb6d01f55b841318c30e550d9e3b6fe |
institution | Directory Open Access Journal |
issn | 2093-5587 2093-1409 |
language | English |
last_indexed | 2024-03-08T17:28:07Z |
publishDate | 2016-12-01 |
publisher | The Korean Space Science Society |
record_format | Article |
series | Journal of Astronomy and Space Sciences |
spelling | doaj.art-deb6d01f55b841318c30e550d9e3b6fe2024-01-02T17:47:11ZengThe Korean Space Science SocietyJournal of Astronomy and Space Sciences2093-55872093-14092016-12-0133431331810.5140/JASS.2016.33.4.313Edge Detection Method Based on Neural Networks for COMS MI ImagesJin-Ho Lee0Eun-Bin Park1Sun-Hee Woo2Korea Aerospace Research Institute, Daejeon 34133, KoreaKorea Aerospace Research Institute, Daejeon 34133, KoreaKorea Aerospace Research Institute, Daejeon 34133, KoreaCommunication, Ocean And Meteorological Satellite (COMS) Meteorological Imager (MI) images are processed for radiometric and geometric correction from raw image data. When intermediate image data are matched and compared with reference landmark images in the geometrical correction process, various techniques for edge detection can be applied. It is essential to have a precise and correct edged image in this process, since its matching with the reference is directly related to the accuracy of the ground station output images. An edge detection method based on neural networks is applied for the ground processing of MI images for obtaining sharp edges in the correct positions. The simulation results are analyzed and characterized by comparing them with the results of conventional methods, such as Sobel and Canny filters.http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2016/v33n4/OJOOBS_2016_v33n4_313.pdfCOMS MI imageedge detectionneural networkSNNSobel filter |
spellingShingle | Jin-Ho Lee Eun-Bin Park Sun-Hee Woo Edge Detection Method Based on Neural Networks for COMS MI Images Journal of Astronomy and Space Sciences COMS MI image edge detection neural network SNN Sobel filter |
title | Edge Detection Method Based on Neural Networks for COMS MI Images |
title_full | Edge Detection Method Based on Neural Networks for COMS MI Images |
title_fullStr | Edge Detection Method Based on Neural Networks for COMS MI Images |
title_full_unstemmed | Edge Detection Method Based on Neural Networks for COMS MI Images |
title_short | Edge Detection Method Based on Neural Networks for COMS MI Images |
title_sort | edge detection method based on neural networks for coms mi images |
topic | COMS MI image edge detection neural network SNN Sobel filter |
url | http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2016/v33n4/OJOOBS_2016_v33n4_313.pdf |
work_keys_str_mv | AT jinholee edgedetectionmethodbasedonneuralnetworksforcomsmiimages AT eunbinpark edgedetectionmethodbasedonneuralnetworksforcomsmiimages AT sunheewoo edgedetectionmethodbasedonneuralnetworksforcomsmiimages |