Adaptive Multi-Scale Attentional Network for Semantic Segmentation of Remote Sensing Images

Mohammad Amin Zare; Sattar Hashemi

doi:10.1109/iccke65377.2024.10874765

ScienceGate Book Chapters

JOURNAL ARTICLE

Adaptive Multi-Scale Attentional Network for Semantic Segmentation of Remote Sensing Images

Mohammad Amin Zare Sattar Hashemi

Year: 2024 Pages: 200-206

DOI: 10.1109/iccke65377.2024.10874765

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Segmentation Scale (ratio) Artificial intelligence Computer vision Image segmentation Remote sensing Pattern recognition (psychology) Geology Cartography Geography

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.42

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Adaptive Multi-Scale Attentional Network for Semantic Segmentation of Remote Sensing Images

Metrics

Topics

Related Documents

Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images

Multi-scale Adaptive Semantic Segmentation Network for Remote Sensing Images based on Attention Gating Mechanism

Multi-scale attention fusion network for semantic segmentation of remote sensing images

MAFMamba: A Multi-Scale Adaptive Fusion Network for Semantic Segmentation of High-Resolution Remote Sensing Images

Multi-Level Adaptive-Scale Context Aggregating Network for Semantic Segmentation in High-Resolution Remote Sensing Images