Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data

Ivica Dimitrovski; Vlatko Spasev; Ivan Kitanovski

doi:10.1007/978-3-031-86162-8_8

ScienceGate Book Chapters

BOOK-CHAPTER

Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data

Ivica Dimitrovski Vlatko Spasev Ivan Kitanovski

Year: 2025 Communications in computer and information science Pages: 106-120 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-86162-8_8

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Segmentation Fusion Sensor fusion Remote sensing Artificial intelligence Earth observation Information retrieval Information fusion Natural language processing Geology Linguistics Physics Astronomy Satellite Philosophy

Metrics

Cited By

26.30

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Automated Road and Building Extraction

Physical Sciences → Engineering → Ocean Engineering

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data

Metrics

Citation History

Topics

Related Documents

Deep Multimodal Fusion Network for Semantic Segmentation Using Remote Sensing Image and LiDAR Data

Adjacent-Scale Multimodal Fusion Networks for Semantic Segmentation of Remote Sensing Data

Learning Frequency-Domain Fusion for Multimodal Remote Sensing Semantic Segmentation

A Multilevel Multimodal Fusion Transformer for Remote Sensing Semantic Segmentation

Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks