An image recognition model based on a deep learning network is proposed for the
automatic extraction of image features and the accurate and efficient detection of wind …

Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) shows great potential for forest height
retrieval. However, there are abundant noise photons in the ICESat-2 data, which make the …

As an emerging technology for continuous monitoring of a bounded domain, electrical
impedance tomography (EIT) gains increasing popularity in various applications. Despite …

In medical image processing, the skin lesion segmentation problem plays a vital role,
because it is necessary to improve quality of extracting skin lesion features to classify the …

As an integral part of intelligent transportation system, vehicle detection and tracking system
is of great research significance and practical application value. In this paper, based on the …

Inconsistent edges of mechanical workpieces in the same batch are one of the main reasons
that lead to different machining performance. A full recognition of the inconsistent features …

Infrared image stitching of wind turbine blades is a challenging task due to weak texture and
low contrast. To address this issue, an infrared image stitching method for wind turbine …

Accurate and real-time 3D burden surface topography of a blast furnace plays an important
role in improving the gas flow distribution and optimizing the charging operation, and …

While yielding satisfactory segmentation results for images with low SNR and poor contrast,
one-dimensional (1-D) and two-dimensional (2-D) Otsu's thresholding methods have the …

Charcoal rot is one of the most destructive fungal diseases of soybean, caused by the
pathogen called Macrophomina phaseolina. This disease thrives in warm and dry …