Results 31 to 40 of about 800,918 (265)

Geospatial Object Detection in Remote Sensing Imagery Based on Multiscale Single-Shot Detector with Activated Semantics

open access: yesRemote Sensing, 2018
Geospatial object detection from high spatial resolution (HSR) remote sensing imagery is a heated and challenging problem in the field of automatic image interpretation.
Shiqi Chen, Ronghui Zhan, Jun Zhang
doaj   +1 more source

Arbitrary clutter extended target probability hypothesis density filter

open access: yesIET Radar, Sonar & Navigation, 2021
Based on the random finite set (RFS) framework and the probability hypothesis density (PHD) filter, the extended target PHD (ET‐PHD) filter is proposed for multiple extended target tracking.
Xinglin Shen   +4 more
doaj   +1 more source

Low-Rank and Sparse Matrix Decomposition with Cluster Weighting for Hyperspectral Anomaly Detectiond

open access: yesRemote Sensing, 2018
Hyperspectral anomaly detection plays an important role in the field of remote sensing. It provides a way to distinguish interested targets from the background without any prior knowledge. The majority of pixels in the hyperspectral dataset belong to the
Lingxiao Zhu, Gongjian Wen, Shaohua Qiu
doaj   +1 more source

Few Shot Object Detection for SAR Images via Feature Enhancement and Dynamic Relationship Modeling

open access: yesRemote Sensing, 2022
Current Synthetic Aperture Radar (SAR) image object detection methods require huge amounts of annotated data and can only detect the categories that appears in the training set.
Shiqi Chen   +4 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan   +18 more
wiley   +1 more source

Compressive Sensing for Radar Target Signal Recovery Based on Block Sparse Bayesian Learning(in English)

open access: yesLeida xuebao, 2016
Nowadays, high-speed sampling and transmission is a foremost challenge of radar system. In order to solve this problem, a compressive sensing approach is proposed for radar target signals in this study.
Zhong Jinrong, Wen Gongjian
doaj   +1 more source

Review of Automatic Target Recognition Evaluation Method Development

open access: yesLeida xuebao, 2023
Automatic Target Recognition (ATR) is an interdisciplinary technological field related to pattern recognition, artificial intelligence, and information processing. ATR evaluation focuses on accessing ATR algorithms and systems.
Jun HE, Ruigang FU, Qiang FU
doaj   +1 more source

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider   +15 more
wiley   +1 more source

Learning Slimming SAR Ship Object Detector Through Network Pruning and Knowledge Distillation

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The deployment of deep convolutional neural networks (CNNs) in synthetic aperture radar (SAR) ship real-time detection is largely hindered by huge computational cost.
Shiqi Chen   +3 more
doaj   +1 more source

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