A bottom-up and top-down human visual attention approach for hyperspectral anomaly detection

Author:

Taghipour AshkanORCID,Ghassemian Hassan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference64 articles.

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2. Bottom-up saliency detection model based on human visual sensitivity and amplitude spectrum;Fang;IEEE Trans. Multimed.,2012

3. Changing your mind: on the contributions of top-down and bottom-up guidance in visual search for feature singletons;Wolfe;J. Exp. Psychol. [Hum. Percept.],2003

4. Deepfeat: A bottom-up and top-down saliency model based on deep features of convolutional neural nets;Mahdi;IEEE Trans. Cogn. Dev. Syst.,2019

5. Saliency detection for stereoscopic images;Fang;IEEE Trans. Image Process.,2014

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Clustering based background learning for hyperspectral anomaly detection;The Egyptian Journal of Remote Sensing and Space Sciences;2023-12

2. Hyperspectral anomaly detection based on score-guided cooperative autoencoders;International Journal of Remote Sensing;2022-06-18

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