Efficient On-Board Compression for Arbitrary-Shaped Cloud-Covered Remote Sensing Images via Adaptive Filling and Controllable Quantization

Due to the fact that invalid cloud-covered regions in remote sensing images consume a considerable quantity of coding bit rates under the limited satellite-to-ground transmission rate, existing image compression methods suffer from low compression efficiency and poor reconstruction quality, especial...

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Principais autores:	Keyan Wang, Jia Jia, Peicheng Zhou, Haoyi Ma, Liyun Yang, Kai Liu, Yunsong Li
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-09-01
Series:	Remote Sensing
Assuntos:	remote sensing image compression invalid cloud-covered regions region of interest spatial preprocessing optimized adaptive filling strategy controllable quantization strategy
Acceso en liña:	https://www.mdpi.com/2072-4292/16/18/3431
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