Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
A NOVEL DEEP LEARNING METHOD FOR DETECTING CHANGES IN SATELLITE IMAGERY
A NOVEL DEEP LEARNING METHOD FOR DETECTING CHANGES IN SATELLITE IMAGERY
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Author:
Journal of Theoretical and Applied Information Technology
Format:
Recurso digital
Published:
Zenodo
2025
Subjects:
Satellite Images, U-net, Siamese, Urban development, Change detection
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
THE REALITY OF MEDIA TRAINING IN JORDANIAN SATELLITE CHANNELS IN LIGHT OF THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE TECHNIQUES FROM THE POINT OF VIEW OF TECHNICAL PERSONNEL - A FIELD STUDY
by: Journal of Theoretical and Applied Information Technology
Published: (2025)
A BLOCKCHAIN-BASED MULTIMODAL APPROACH TO MALWARE DETECTION IN ANDROID IOT ECOSYSTEMS
by: Journal of Theoretical and Applied Information Technology
Published: (2025)
Siameses: Presentación de un caso
by: Jaime Ingar
Published: (2007)
MULTI-SCALE RETINEX-UNET FOR ENHANCEMENT OF LOW LIGHT WEAK CONTRAST IMAGES
by: Journal of Theoretical and Applied Information Technology
Published: (2025)
Siameses toracópagos, presentación de un caso
by: Yuvisán Carvajal Núñez
Published: (2012)
