What Catch Your Attention in SAR Images: Saliency Detection Based on Soft-Superpixel Lacunarity Cue

Author:

Ma Fei1ORCID,Sun Xuejiao1,Zhang Fan1ORCID,Zhou Yongsheng1ORCID,Li Heng-Chao2ORCID

Affiliation:

1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference50 articles.

1. Survey of research progress on target detection and discrimination of single-channel SAR images for complex scenes;du;J Radars,2020

2. A target detection algorithm for SAR images based on regional probability statistics and saliency analysis

3. A model of saliency-based visual attention for rapid scene analysis

4. Shifts in selective visual attention: Towards the underlying neural circuitry;koch;Hum Neurobiol,1985

5. FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery

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