高光谱图像处理与信息提取前沿.

张兵 - Journal of Remote Sensing, 2016 - search.ebscohost.com
高光谱遥感是对地观测的重要手段, 高光谱图像处理与信息提取技术则是高光谱遥感领域的核心
研究内容之一. 本文简要介绍了高光谱遥感的主要特点, 系统梳理了高光谱图像处理与信息提取 …

High-performance embedded computing in space: Evaluation of platforms for vision-based navigation

G Lentaris, K Maragos, I Stratakos… - Journal of Aerospace …, 2018 - arc.aiaa.org
Vision-based navigation has become increasingly important in a variety of space
applications for enhancing autonomy and dependability. Future missions, such as active …

Approximate computing of remotely sensed data: SVM hyperspectral image classification as a case study

Y Wu, X Yang, A Plaza, F Qiao, L Gao… - IEEE Journal of …, 2016 - ieeexplore.ieee.org
Onboard processing systems are becoming very important in remote sensing data
processing. However, a main problem with specialized hardware architectures used for …

Classification of foreign fibers using deep learning and its implementation on embedded system

W Wei, D Deng, L Zeng, C Zhang… - International Journal of …, 2019 - journals.sagepub.com
In recent years, the foreign fibers in cotton lint significantly affect the quality of the final cotton
textile products. It remains a challenging task to accurately distinguish foreign fibers from …

Efficient implementation of hyperspectral anomaly detection techniques on GPUs and multicore processors

JM Molero, EM Garzón, I García… - IEEE Journal of …, 2014 - ieeexplore.ieee.org
Anomaly detection is an important task for hyperspectral data exploitation. Although many
algorithms have been developed for this purpose in recent years, due to the large …

Real-time identification of hyperspectral subspaces

E Torti, M Acquistapace, G Danese… - IEEE Journal of …, 2014 - ieeexplore.ieee.org
The identification of signal subspace is a crucial operation in hyperspectral imagery,
enabling a correct dimensionality reduction that often yields gains in algorithm performance …

GPU implementation of iterative-constrained endmember extraction from remotely sensed hyperspectral images

EM Sigurdsson, A Plaza… - IEEE Journal of Selected …, 2015 - ieeexplore.ieee.org
Hyperspectral unmixing is an important technique for remotely sensed hyperspectral data
exploitation. Linear spectral unmixing is frequently used to characterize mixed pixels in …

Exploring the performance–power–energy balance of low-power multicore and manycore architectures for anomaly detection in remote sensing

G León, JM Molero, EM Garzón, I García… - The Journal of …, 2015 - Springer
In this paper, we perform an experimental study of the interactions between execution time
(ie, performance), power, and energy that occur in modern low-power architectures when …

Assessing the performance-energy balance of graphics processors for spectral unmixing

S Sanchez, G Leon, A Plaza… - IEEE Journal of …, 2014 - ieeexplore.ieee.org
Remotely sensed hyperspectral imaging missions are often limited by onboard power
restrictions while, simultaneously, require high computing power in order to address …

Hyperspectral anomaly dectection on multicore DSPs

Y Li, W Li, L Li - 2018 11th International Congress on Image …, 2018 - ieeexplore.ieee.org
As one of the major technological breakthroughs made by human beings in earth
observation since the 1980s, the good spectral diagnostic ability of hyperspectral images …