Remote Sensing Image Coding for Machines on Semantic Segmentation via Contrastive Learning

Due to the huge data volume of high-resolution remote sensing imagery (RSI) and limited transmission bandwidth, RSIs are typically compressed for efficient transmission and storage. However, most of the existing compression algorithms are developed based on optimizing for the human perceptual that a...

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Vydáno v:	IEEE transactions on geoscience and remote sensing Ročník 62; s. 1 - 13
Hlavní autoři:	Zhang, Junxi, Chen, Zhenzhong, Liu, Shan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Bit rate Clustering Codecs Compression Contrastive learning Decision making Feature extraction Image coding image coding for machines (ICMs) Image compression Image processing Image resolution Image segmentation Information processing Learning Object recognition Object segmentation Pattern recognition Remote sensing remote sensing interpretation Semantic segmentation Semantics Transform coding
ISSN:	0196-2892, 1558-0644
On-line přístup:	Získat plný text
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