Results 21 to 30 of about 525,724 (267)

Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Remote sensing image scene classification, which aims at labeling remote sensing images with a set of semantic categories based on their contents, has broad applications in a range of fields.
Gong Cheng, Xingxing Xie, Junwei Han, Lei Guo, Gui-Song Xia   +4 more
doaj   +1 more source

Application of Motion Video Analysis System Based on SISA Neural Network in Sports Training

Advances in Multimedia, 2022
This paper proposes the study of motion video image classification and recognition, extracts the motion target image features, designs the image classification process, and establishes the neural network image classification model to complete the image ...
Shishun Ge, Chunhong Zhu
doaj   +1 more source

Fine-Grained Classification of Optical Remote Sensing Ship Images Based on Deep Convolution Neural Network

Remote Sensing, 2022
Marine activities occupy an important position in human society. The accurate classification of ships is an effective monitoring method. However, traditional image classification has the problem of low classification accuracy, and the corresponding ship ...
Yantong Chen, Zhongling Zhang, Zekun Chen, Yanyan Zhang, Junsheng Wang   +4 more
doaj   +1 more source

Vectorial Image Representation for Image Classification

Journal of Imaging
This paper proposes the transformation S→C→, where S is a digital gray-level image and C→ is a vector expressed through the textural space. The proposed transformation is denominated Vectorial Image Representation on the Texture Space (VIR-TS), given ...
Maria-Eugenia Sánchez-Morales, José-Trinidad Guillen-Bonilla, Héctor Guillen-Bonilla, Alex Guillen-Bonilla, Jorge Aguilar-Santiago, Maricela Jiménez-Rodríguez   +5 more
doaj   +1 more source

Adversarial Reconstruction-Classification Networks for PolSAR Image Classification

Remote Sensing, 2019
Polarimetric synthetic aperture radar (PolSAR) image classification has become more and more widely used in recent years. It is well known that PolSAR image classification is a dense prediction problem. The recently proposed fully convolutional networks (
Yanqiao Chen, Yangyang Li, Licheng Jiao, Cheng Peng, Xiangrong Zhang, Ronghua Shang   +5 more
doaj   +1 more source

Survey of Zero-Shot Image Classification

Jisuanji kexue yu tansuo, 2021
It is time-consuming and laborious to manually label a large number of samples, and samples from some rare classes are difficult to obtain. Therefore, the zero-shot image classification has become a research hotspot in the computer vision field. Firstly,
LIU Jingyi, SHI Caijuan, TU Dongjing, LIU Shuai
doaj   +1 more source

Vehicle image datasets for image classification

Data in Brief
Vehicle image recognition is a critical research area with diverse traffic management, surveillance, and autonomous driving systems applications. Accurately classifying and identifying vehicles from images play a crucial role in these domains.
Narong Boonsirisumpun, Emmanuel Okafor, Olarik Surinta   +2 more
doaj   +1 more source

Deep Learning Based Mineral Image Classification Combined With Visual Attention Mechanism

IEEE Access, 2021
Mineral image classification technology based on machine vision is an efficient system for ore sorting. With the development of artificial intelligence and computer technology, the deep learning-based mineral image classification system is gradually ...
Yang Liu, Zelin Zhang, Xiang Liu, Wang Lei, Xuhui Xia   +4 more
doaj   +1 more source

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis, Shauna R. Campbell, Jonathan Jang, Eashwar Somasundaram, Chandana A. Reddy, Jacob G. Scott, Lilyana Angelov, Peter M. Anderson, Matteo Trucco, Zachary Burke, Lukas Nystrom, Nathan Mesko, Anthony Magnelli, Erin S. Murphy   +13 more
wiley   +1 more source

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source