Segmentation of Small Objects in Satellite Imagery Using Dense U-Net in Massachusetts Buildings Dataset

Segmentation of Small Objects in Satellite Imagery Using Dense U-Net in Massachusetts Buildings Dataset

Class imbalance is a serious problem that disrupts the process of semantic segmentation of satellite imagery in urban areas in Earth remote sensing. Due to the large objects dominating the segmentation process, small object are consequently limited, so solutions based on optimizing overall accuracy...

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Bibliographic Details
Main Authors: Muhammad Iqbal Izzul Haq, Aniati Murni Arymurthy, Irham Muhammad Fadhil
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2022-06-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
class imbalance, dataset, end-to-end, convolution, denseu-net
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/3993

Internet

http://jurnal.iaii.or.id/index.php/RESTI/article/view/3993

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