Ghost imaging based on deep learning (DLGI) usually employs a supervised learning
strategy, and needs a large set of labeled data to train a neural network. However, in many …

摘要关联成像以其非定域性, 抗干扰能力强等特点得到研究人员的广泛关注, 在三维成像,
遥感成像, 生物医疗, 国防军事等领域具有广阔的应用前景. 本综述根据发展阶段的不同 …

This study aimed to develop a reliable turbidity model to assess reservoir turbidity based on
Landsat-8 satellite imagery. Models were established by multiple linear regression (MLR) …

The non-negativity of the measurement matrix in the traditional compressed ghost imaging
system and iterative optimization process leads to low imaging quality and slow …

A sub-Rayleigh resolution ghost imaging experiment is performed via post-detection spatial
low-pass filtering of the instantaneous intensity. A super-resolution reconstructed image has …

An experiment on compressive microscopic imaging with single-pixel detector and single-
arm has been performed on the basis of “positive–negative”(differential) light modulation of …

We present a new technique to denoise ghost imaging (GI) in which conventional intensity
correlation GI and an iteration process have been combined to give an accurate estimate of …

Ghost imaging (GI) offers great potential with respect to conventional imaging techniques. It
is an open problem in GI systems that a long acquisition time is be required for …

Ghost imaging technology has a great application potential in optical security because of its
non-local characteristics. In this paper, on the basis of computational ghost imaging, an …

Rogue waves (RWs) are unexpectedly strong excitations emerging from an otherwise
tranquil background. The nonlinear Schrödinger equation (NLSE), a ubiquitous model with …