Spatial and temporal dynamics of aufeis in the Tso Moriri basin, eastern Ladakh, India
Abstract Aufeis is a common phenomenon in cold regions of the Northern Hemisphere that develops during winter by successive water overflow and freezing on ice‐covered surfaces. Most studies on aufeis occurrence focus on regions in North America and Siberia, while research in High Mountain Asia (HMA) is still in an exploratory phase.
Dagmar Brombierstäudl+2 more
wiley +1 more source
Generalization Ability of Deep Learning Algorithms Trained Using SEM Data for Objects Classification
Abstract This paper proposes an efficient method to determine the material of spherical objects and the location of the receiving antenna relative to the object in bi‐static measurements using supervised learning techniques. From a single observation, we compare classification performances resulting from the application of several classifiers on ...
Yasmina Zaky+3 more
wiley +1 more source
Abstract Ecosystem structure, especially vertical vegetation structure, is one of the six essential biodiversity variable classes and is an important aspect of habitat heterogeneity, affecting species distributions and diversity by providing shelter, foraging, and nesting sites. Point clouds from airborne laser scanning (ALS) can be used to derive such
Vítězslav Moudrý+11 more
wiley +1 more source
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar Imaging [PDF]
In this paper, we introduce an innovative super resolution approach to emerging modes of near-field synthetic aperture radar (SAR) imaging. Recent research extends convolutional neural network (CNN) architectures from the optical to the electromagnetic domain to achieve super resolution on images generated from radar signaling. Specifically, near-field
arxiv +1 more source
AUGMENTING THE PHILIPPINES’ DOST-ASTI’S POTENTIAL FLOOD EXTENTS MAPPING SERVICE WITH S-BAND NOVASAR-1 IMAGES [PDF]
The Philippines’ Advanced Science and Technology Institute under the Department of Science and Technology (DOST-ASTI) has developed an AI-based and near real-time flood extent mapping service that utilizes C-Band Sentinel-1 SAR images.
J. B. L. C. Dumalag+13 more
doaj +1 more source
Forward-Looking MIMO-SAR for Enhanced Radar Imaging in Autonomous Mobile Robots
Synthetic aperture radar (SAR) techniques are commonly used in spaceborne and airborne side-looking radar imaging applications, where the relatively high platform speeds enable the formation of very long synthetic apertures, which provide images with ...
Adnan Albaba+4 more
doaj +1 more source
Ship Wake Component Detectability on Synthetic Aperture Radar (SAR) [PDF]
This study presents an extension to recent ship wake detectability models based on SAR image analysis with machine learning. In contrast to our previous works, we model the detectability of certain wake components individually. The underlying data set is obtained by extracting possible ship wake signatures from SAR imagery by collocation with Automatic
Tings, Björn+2 more
openaire +2 more sources
Coherent Performance Analysis of the HJ-1-C Synthetic Aperture Radar
Synthetic Aperture Radar (SAR) is a coherent imaging radar. Hence, coherence is critical in SAR imaging. In a coherent system, several sources can degrade performance.
Li Hai-ying+3 more
doaj +1 more source
Comments on rendering synthetic aperture radar (SAR) images
Once Synthetic Aperture Radar (SAR) images are formed, they typically need to be stored in some file format which might restrict the dynamic range of what can be represented. Thereafter, for exploitation by human observers, the images might need to be displayed in a manner to reveal the subtle scene reflectivity characteristics the observer seeks ...
openaire +3 more sources
A Novel Imaging Scheme of Squint Multichannel SAR: First Result of GF-3 Satellite
The azimuth multichannel synthetic aperture radar (MC-SAR) is an effective means of earth observation due to its high-resolution and wide-swath (HRWS) imaging capability.
Yini Lv+4 more
doaj +1 more source