Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "738cf157-e247-45fd-8bdb-68c316acf141"}, "_deposit": {"id": "3425", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3425"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3425", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Detecting Tropical Cyclone Using Infrared Satellite Images", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Tropical Cyclone (TC) are among the mostdestructive natural disasters. Analysis of TC imagefrom infrared satellite images is an active field ofresearch. Many algorithms were developed in pastfew decades on TC image analysis. The location ofTC is always an important and difficult problem.Many researchers have tried to detect the rightRegion of Interest (ROI) from the imageautomatically. In this paper, feature extractionmethod based on modified Morphological processingand the color segmentation approach based on theintensity transformation and color spaces are appliedfor automatically extraction the location of storms.45 TCs occurred between 1989 and 2014, are testedand several experiments have been done to evaluatethe proposed system."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Satellite Images"}, {"interim": "Region of Interest"}, {"interim": "Morphological Processing"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-22"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "ICCA 2019 Proceedings Book-pages-106-110.pdf", "filesize": [{"value": "530 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 530000.0, "url": {"url": "https://meral.edu.mm/record/3425/files/ICCA 2019 Proceedings Book-pages-106-110.pdf"}, "version_id": "55f73017-a693-44bf-983f-0e96803ec73f"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Seventeenth International Conference on Computer Applications(ICCA 2019)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Hsan, Thu Zar"}, {"subitem_authors_fullname": "Sein, Myint Myint"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2019-02-27"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1178"}, "item_title": "Detecting Tropical Cyclone Using Infrared Satellite Images", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003425", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-22"}, "publish_date": "2019-07-22", "publish_status": "0", "recid": "3425", "relation": {}, "relation_version_is_last": true, "title": ["Detecting Tropical Cyclone Using Infrared Satellite Images"], "weko_shared_id": -1}
  1. University of Computer Studies, Yangon
  2. Conferences

Detecting Tropical Cyclone Using Infrared Satellite Images

http://hdl.handle.net/20.500.12678/0000003425
http://hdl.handle.net/20.500.12678/0000003425
d6f280b3-31d8-4eab-8273-046edd75ed35
738cf157-e247-45fd-8bdb-68c316acf141
None
Preview
Name / File License Actions
ICCA ICCA 2019 Proceedings Book-pages-106-110.pdf (530 Kb)
Publication type
Article
Upload type
Publication
Title
Title Detecting Tropical Cyclone Using Infrared Satellite Images
Language en
Publication date 2019-02-27
Authors
Hsan, Thu Zar
Sein, Myint Myint
Description
Tropical Cyclone (TC) are among the mostdestructive natural disasters. Analysis of TC imagefrom infrared satellite images is an active field ofresearch. Many algorithms were developed in pastfew decades on TC image analysis. The location ofTC is always an important and difficult problem.Many researchers have tried to detect the rightRegion of Interest (ROI) from the imageautomatically. In this paper, feature extractionmethod based on modified Morphological processingand the color segmentation approach based on theintensity transformation and color spaces are appliedfor automatically extraction the location of storms.45 TCs occurred between 1989 and 2014, are testedand several experiments have been done to evaluatethe proposed system.
Keywords
Satellite Images, Region of Interest, Morphological Processing
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1178
Journal articles
Seventeenth International Conference on Computer Applications(ICCA 2019)
Conference papers
Books/reports/chapters
Thesis/dissertations
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-01 10:08:30.107291
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL