BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ESGRS - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:ESGRS
X-ORIGINAL-URL:https://www.esgrs.ae
X-WR-CALDESC:Events for ESGRS
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Dubai
BEGIN:STANDARD
TZOFFSETFROM:+0400
TZOFFSETTO:+0400
TZNAME:+04
DTSTART:20220101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20231025T100000
DTEND;TZID=Asia/Dubai:20231025T110000
DTSTAMP:20260611T133238
CREATED:20231025T094734Z
LAST-MODIFIED:20240514T074028Z
UID:3450-1698228000-1698231600@www.esgrs.ae
SUMMARY:Elevating Urban Insight: Building Change Detection with KhalifaSat and Deep Learning
DESCRIPTION:In the ever-evolving landscape of Earth observation and remote sensing\, the task of building change detection holds paramount importance. Monitoring shifts in urban development\, infrastructure alterations\, and environmental changes is pivotal for understanding and managing our dynamic world. KhalifaSat\, an advanced Earth observation satellite\, plays a pivotal role in providing high-resolution satellite imagery that empowers these change detection efforts. Deep learning techniques have emerged as a transformative force\, automating the once-manual process and enhancing the accuracy and efficiency of building change detections. In this webinar\, we’ll provide a detailed exploration of building a change detection model specifically tailored for detecting changes in buildings\, using deep learning in conjunction with KhalifaSat images. The webinar will demonstrate the entire process\, from dataset collection and image preprocessing to custom dataset labeling\, model training\, and the rigorous testing and evaluation of model results. This comprehensive showcase will offer attendees valuable insights into the practical application of this transformative technology for building change detection.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                ENG. JAWAHER ALGHFELISOFTWARE ENGINEER\, MBRSC LAB\, UNIVERSITY OF DUBAIEng. Jawaher AlGhfeli\, a software engineer at the University of Dubai’s MBRSC lab\, holds a bachelor’s degree (Hons.) in computer engineering with a minor in artificial intelligence from the United Arab Emirates University. Her dedication to the technology field has been acknowledged through the prestigious UAE University Chancellor Innovation Award\, reflecting her remarkable contributions to the field. She is currently engaged in remote sensing image processing and the development of AI tools\, furthering her contributions to technology and Earth observation applications. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/elevating-urban-insight-building-change-detection-with-khalifasat-and-deep-learning/
LOCATION:Virtual
CATEGORIES:2023,Webinars
ATTACH;FMTTYPE=image/png:https://www.esgrs.ae/wp-content/uploads/2023/10/Capture.png
END:VEVENT
END:VCALENDAR