Results 41 to 50 of about 472,113 (289)
Remote 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
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Low-Rank and Sparse Matrix Decomposition with Cluster Weighting for Hyperspectral Anomaly Detectiond
Remote 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
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Arbitrary clutter extended target probability hypothesis density filter
IET 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
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Few Shot Object Detection for SAR Images via Feature Enhancement and Dynamic Relationship Modeling
Remote 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
Listeners normalize speech for contextual speech rate even without an explicit recognition task
, 2019 Speech can be produced at different rates. Listeners take this rate variation into account by normalizing vowel duration for contextual speech rate: An ambiguous Dutch word /m?t/ is perceived as short /mAt/ when embedded in a slow context, but long /ma:t/
Bosker, H., Maslowski, M., Meyer, A.
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Recognizing Multi-talker Speech with Permutation Invariant Training
, 2017 In this paper, we propose a novel technique for direct recognition of multiple speech streams given the single channel of mixed speech, without first separating them.
Chang, Xuankai, Qian, Yanmin, Yu, Dong
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Leida 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
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Supporting Survivor‐Centered Care Through Digital Health Integration
Pediatric 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
Leida 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
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A Neural Network Architecture for Figure-ground Separation of Connected Scenic Figures [PDF]
, 1991 A neural network model, called an FBF network, is proposed for automatic parallel separation of multiple image figures from each other and their backgrounds in noisy grayscale or multi-colored images.
Grossbergy, Stephen, Wyse, Lonce
core +2 more sources