The workflow for estimating the temperature in agricultural fields from multiple sensors
needs to be optimized upon testing each type of sensor's actual user performance. In this …

Background estimation is an efficient infrared (IR) small target detection method. However,
to deal with unknown targets, the estimation window in existing algorithms should be …

Digital images often suffer from the common problem of stripe noise due to the inconsistent
bias of each column. The existence of the stripe poses much more difficulties on image …

Deep learning-based single-image infrared (IR) destri** has made significant advances.
However, these methods are typically evaluated using “synthetic” images with specific stripe …

Removing stripe noise, ie, destri**, from remote sensing images is an essential task in
terms of visual quality and subsequent processing. Most existing destri** methods are …

Remote sensing images can accurately display the electromagnetic attribute distribution of
various ground objects and can be used in many applications. Nevertheless, stripe noise …

Stripe noise is a common and unwelcome noise pattern in various thermal infrared (TIR)
image data including conventional TIR images and remote sensing TIR spectral images …

Maritime thermal infrared (IR) imaging is susceptible to various types of mixed noise
interference, such as Gaussian, stripe, and internal stray radiation noise, due to atmospheric …

Infrared images are often degraded by the issue of random and stripe noises in the business
infrared focal plane imaging process. In this study, we proposed a novel infrared image …