Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach

Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach

Instance segmentation is the state-of-the-art in object detection, and there are numerous applications in remote sensing data where these algorithms can produce significant results. Nevertheless, one of the main problems is that most algorithms use Red, Green, and Blue (RGB) images, whereas Satellit...

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Bibliographic Details
Main Authors: Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Júnior, Anesmar Olino de Albuquerque, Pablo Pozzobon de Bem, Cristiano Rosa Silva, Pedro Henrique Guimarães Ferreira, Rebeca dos Santos de Moura, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães, Díbio Leandro Borges
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
instance segmentation
multi-channel imagery
mask R-CNN
deep learning
COCO
Landsat-8
Online Access:https://www.mdpi.com/2072-4292/13/1/39

Internet

https://www.mdpi.com/2072-4292/13/1/39

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