A method for assessing spectral image utility

MS Stefanou, JP Kerekes - IEEE Transactions on Geoscience …, 2009 - ieeexplore.ieee.org
The utility of an image is an attribute that describes the ability of that image to satisfy
performance requirements for a particular application. This paper establishes the context for …

Radiometry and contrast-to-noise ratio for continuous-wave and laser range-gated active imaging systems

J Follansbee, D Burrell, O Furxhi, CK Renshaw… - Applied Optics, 2023 - opg.optica.org
Resolution and sensitivity must be considered in the design of an active imaging system.
System sensitivity is characterized by the signal-to-noise or contrast-to-noise ratio and is …

Machine learning for quality assessment of ground-based optical images of satellites

T Kyono, J Lucas, M Werth, B Calef… - Optical …, 2020 - spiedigitallibrary.org
Astronomical images collected by ground-based telescopes suffer from degradation and
perturbations attributed to atmospheric turbulence. We investigate the application of …

Predicted radar/optical feature fusion gains for target identification

B Kahler, E Blasch - Proceedings of the IEEE 2010 National …, 2010 - ieeexplore.ieee.org
Airborne tracking and identification (ID) of high value ground targets is a difficult task
impacted by sensor, target, and environmental conditions. Layered sensing, using a …

Design and development of a DDDAMS-based border surveillance system via UVs and hybrid simulations

S Lee, S Jain, Y Yuan, Y Zhang, H Yang, J Liu… - Expert Systems with …, 2019 - Elsevier
Despite the increasing use of sensor technologies in border surveillance applications, there
is a lack of systematic methodology and its implementation with the effective control system …

Silo: A machine learning dataset of synthetic ground-based observations of leo satellites

M Werth, J Lucas, T Kyono, I McQuaid… - 2020 IEEE Aerospace …, 2020 - ieeexplore.ieee.org
Images of space objects may have their interpretability assessed with a Space-object
National Imagery Interpretability Rating Scale (SNIIRS) score. The rules for such scores are …

[HTML][HTML] A real-time effectiveness evaluation method for remote sensing satellite clusters on moving targets

Z Li, Y Dong, P Li, H Li, Y Liew - Sensors, 2022 - mdpi.com
Recently, remote sensing satellites have become increasingly important in the Earth
observation field as their temporal, spatial, and spectral resolutions have improved …

光学遥感舰船目标识别方法

杜春, 孙即祥, 李智勇, 滕书华 - 中国图象图形学报, 2012 - cjig.ijournals.cn
摘要提出一种基于粗糙集理论和分层判别回归技术的光学遥感舰船目标识别方法.
该方法首先提出新的光学遥感舰船识别特征——面积比编码, 并与四类特征组合作为备选特征; …

Feasibility of an interpretability metric for LIDAR data

Y Duan, JM Irvine, H Chen, G Chen… - … Motion Imagery, and …, 2018 - spiedigitallibrary.org
The use of LIDAR (Light Imaging, Detection and Ranging) data for detailed terrain mapping
and object recognition is becoming increasingly common. While the rendering of LIDAR …

Quality assessment for remote sensing images: approaches and applications

Y Xia, Z Chen - … International Conference on Systems, Man, and …, 2015 - ieeexplore.ieee.org
Remote sensing images play important roles in various applications, such as meteorology,
geology, ecology, hydrology, and so on. The quality of remote sensing images is the key in …