Zhijiang S Chen

US Patent:

20180268605, Sep 20, 2018

Filed:

May 4, 2018

Appl. No.:

15/971940

Inventors:

- Germantown MD, US
SIXIAO WEI - Germantown MD, US
ZHIJIANG CHEN - Germantown MD, US
GENSHE CHEN - Germantown MD, US
KHANH PHAM - Kirtland AFB NM, US
ERIK BLASCH - Arlington VA, US

International Classification:

G06T 17/05
G06T 1/20
G08G 99/00

Abstract:

Methods and systems for space situational awareness (SSA) demonstration are provided. The system includes a space data collector component, for collecting space initialization data of space objects from initialized space sources and pre-processing the space initialization data; a data relocation component, for distributing the space initialization data pushed from the space data collector component into multiple streaming channels for streaming; a streaming platform, for streaming, mapping, and reducing the space initialization data from the data relocation component to provide streamed data; a real-time analysis component, for calculating the streamed data to conduct a real-time detecting and tracking analysis of the space objects by implementing algorithms for one or more of space uncertainty propagation, space object tracking, sensor management, and collision avoidance; and a space visualization component, for displaying a visualization of space situational awareness (SSA) based on analyzed results from the real-time analysis component.

US Patent:

20180197297, Jul 12, 2018

Filed:

Mar 7, 2018

Appl. No.:

15/914868

Inventors:

- Germantown MD, US
SIXIAO WEI - Germantown MD, US
ZHIJIANG CHEN - Germantown MD, US
GENSHE CHEN - Germantown MD, US
CAROLYN SHEAFF - Rome NY, US
KHANH PHAM - Kirtland AFB NM, US
ERIK BLASCH - Arlington VA, US

International Classification:

G06T 7/20
G06T 1/20
G06F 9/54
G06F 17/30

Abstract:

Method and system for detecting and tracking multiple moving targets based on wide-area motion imagery are provided. The method includes receiving a task request from a client; sending the task request to a local agent; acquiring to-be-processed images from the client, in response to the task request; calling an Hadoop API and checking a running status of a Hadoop system for an available resource in the Hadoop system; when a resource in the Hadoop system is available, pushing the to-be processed images to a back-end Hadoop distributed file system (HDFS); running tracking algorithms of multiple moving objects associated with the to-be-processed images to provide tracking results of the multiple moving objects; when the Hadoop system is completed in running the tracking algorithms, generating and sending a message to the local agent; and sending the tracking results of the multiple moving objects from the HDFS to the front-end database.