During the last decades, radar sounders provided direct measurements (radargrams) of the
Earth's polar caps' subsurface. Radargrams are of critical importance for a better …

There are several major challenges in detecting and recognizing multiple hidden objects
from millimeter wave SAR security inspection images: inconsistent clarity of objects, similar …

Radio-echo sounding (RES) is a useful technique for measuring the subsurface properties
of ice sheets and glaciers. One of the most important and unique outcomes is the map** of …

Accurate cloud-type identification and coverage analysis are crucial in understanding
Earth's radiative budget. Traditional computer vision methods rely on low-level visual …

The most common type of malignant brain tumor, gliomas, has a variety of grades that
significantly impact a patient's chance of survival. Accurate segmentation of brain tumor …

The generalization of deep learning (DL) models is critical for accurate lesion segmentation
in breast ultrasound (BUS) images. Traditional DL models often struggle to generalize well …

In this paper, the performance of five convolutional neural network (CNN) deep learning
architectures were evaluated for delineating high complexity building regions in remote …

Sea level rise, caused by accelerated melting of glaciers in Greenland and Antarctica in
recent decades, has become a major concern in scientific, environmental, and political …

In the context of HIFU treatment monitoring for ultrasonic image segmentation, there is a
trade-off between the segmentation accuracy and the complexity of semantic segmentation …

Pulmonary Embolism (PE) is a serious threat to human life and health due to its high
incidence rate and mortality. It is important to detect PE in time for the treatment of the …