Results 11 to 20 of about 212,348 (364)
Mission-critical applications that rely on deep learning (DL) for automation suffer because DL models struggle to provide reliable indicators of failure.
Jarrod Haas, Bernhard Rabus
doaj +1 more source
Automatic Target Recognition on Synthetic Aperture Radar Imagery: A Survey [PDF]
Automatic target recognition (ATR) for military applications is one of the core processes toward enhancing intelligence and autonomously operating military platforms.
O. Kechagias-Stamatis
semanticscholar +1 more source
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
Synthetic aperture radar (SAR) raw data do not have a direct application; therefore, SAR raw signal processing algorithms are used to generate images that are used for various required applications.
Jhohan Jancco-Chara+4 more
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Measurement(s) C-band radar backscatter • extent of permanent water bodies Technology Type(s) Synthetic Aperture Radar (SAR) • Synthetic Aperture Radar (SAR) normalised mosaic Factor Type(s) radar backscatter Sample Characteristic - Environment land ...
Bernhard Bauer-Marschallinger+11 more
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Change detection from synthetic aperture radar images becomes a key technique to detect change area related to some phenomenon as flood and deformation of the earth surface.
I. Hamdi+3 more
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A Novel Attention Fully Convolutional Network Method for Synthetic Aperture Radar Image Segmentation
As an important step of synthetic aperture radar image interpretation, synthetic aperture radar image segmentation aims at segmenting an image into different regions in terms of homogeneity.
Zhenyu Yue+5 more
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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
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
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