Results 51 to 60 of about 70,289 (311)

A semantic approach to the efficient integration of interactive and automatic target recognition systems for the analysis of complex infrastructure from aerial imagery

open access: yes, 2009
Paper 69670ZThe analysis of complex infrastructure from aerial imagery, for instance a detailed analysis of an airfield, requires the interpreter, besides to be familiar with the sensor's imaging characteristics, to have a detailed understanding of the ...
Bauer, A., Peinsipp-Byma, E.
core   +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

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

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

Adaptive classification for image segmentation and target recognition

open access: yes, 2009
S.230-240This paper on adaptive image segmentation and classification describes research activities on statistical pattern recognition in combination with methods of object recognition by geometric matching of model and image structures.
Jaeger, K.   +3 more
core   +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

Bayesian multi-target tracking and sequential object recognition

open access: yes, 2008
Paper 69670SBecause of an increasing need and a rapid progress in the development of (unmanned) aerial vehicles and optical sensors that can be mounted onboard of these sensor platforms, there is also a considerable progress in 3D analysis of air- and ...
Armbruster, W., Walter Armbruster
core   +1 more source

ZONING DESIGN FOR HAND­WRITTEN NUMERAL RECOGNITION [PDF]

open access: yes, 1997
Microsoft, Motorola, Siemens, Hitachi, IAPR, NICI, IUF In the field of Optical Character Recognition (OCR), zoning is used to extract topological information from patterns. In this paper zoning is considered as the result of an optimisation problem and a
PIRLO, Giuseppe   +12 more
core   +1 more source

Supporting Survivor‐Centered Care Through Digital Health Integration

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Survivors of childhood cancer face barriers to receiving guideline‐based, long‐term follow‐up care. Two digital tools, Passport for Care (PFC) and Cancer SurvivorLink (SurvivorLink), address complementary gaps by enabling tailored survivorship care plan (SCP) generation, updating, storage, and sharing.
Jordan G. Marchak   +15 more
wiley   +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

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