Zobrazeno 1 - 10
of 506
pro vyhledávání: '"background estimation"'
A light CNN based on residual learning and background estimation for hyperspectral anomaly detection
Autor:
Jiajia Zhang, Pei Xiang, Jin Shi, Xiang Teng, Dong Zhao, Huixin Zhou, Huan Li, Jiangluqi Song
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104069- (2024)
Existing deep learning-based hyperspectral anomaly detection methods typically perform anomaly detection by reconstructing a clean background. However, for the deep networks, there are many parameters that need to be adjusted. To reduce parameters of
Externí odkaz:
https://doaj.org/article/857513d7ec9845ecbc554eee222f7363
Publikováno v:
Hangkong bingqi, Vol 30, Iss 4, Pp 91-97 (2023)
Star sensors installed on near-space vehicles are susceptible to earth-atmosphere radiation. As a result, the accuracy of star extraction and the performance of celestial system is significantly degraded. Aiming at this problem, a high precision star
Externí odkaz:
https://doaj.org/article/c0652bd9e14e4f7da112825907db8b48
Publikováno v:
IEEE Photonics Journal, Vol 15, Iss 2, Pp 1-20 (2023)
To improve the detection ability of infrared dim and small targets in complex cloud backgrounds, we present a novel method based on motion energy estimation. First, according to the characteristic of the gradient between the target and the background
Externí odkaz:
https://doaj.org/article/129028bc846249ee8aa7edb7c3fcacdd
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 7076-7087 (2022)
Small target detection is a crucial and challenging task in infrared search and track system. Background estimation-based methods is an effective and important approach for infrared small target detection. Affected by the target pixels, existing back
Externí odkaz:
https://doaj.org/article/5ab886fb5aa44573b5d0869b7fae0caa
Akademický článek
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Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2021, Iss 1, Pp 1-24 (2021)
Abstract Binarization plays an important role in document analysis and recognition (DAR) systems. In this paper, we present our winning algorithm in ICFHR 2018 competition on handwritten document image binarization (H-DIBCO 2018), which is based on b
Externí odkaz:
https://doaj.org/article/17b3c78f6f854cafa13fa7c781e03b74
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3521 (2023)
Accurate estimates of the unperturbed state of upwelling radiation from the earth’s surface are vital to the detection and classification of anomalous radiation values. Determining radiative anomalies in the landscape is critical for isolating chan
Externí odkaz:
https://doaj.org/article/1c7a081871684203aabc1b4d8d7aa614
Sparse Representation Based Hyperspectral Anomaly Detection via Adaptive Background Sub-Dictionaries
Autor:
Yi Lu, Shucai Huang
Publikováno v:
IEEE Access, Vol 9, Pp 14735-14751 (2021)
Hyperspectral anomaly detection has drawn much attention in recent years. In this paper, in order to effectively extract anomalies in hyperspectral images, a novel sparse-representation based hyperspectral anomaly detection method via adaptive backgr
Externí odkaz:
https://doaj.org/article/7f4f46fddb8e48c8b950ea3ed2df9f18
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 645-662 (2021)
Background estimation is an efficient infrared (IR) small target detection method. However, to deal with unknown targets, the estimation window in existing algorithms should be adjusted to perform multiscale detection and requires a lot of calculatio
Externí odkaz:
https://doaj.org/article/ce9cb0003ed940c683c2ce6ab6b0de87
Akademický článek
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