The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 18, 2019

Filed:

Nov. 30, 2018
Applicant:

Transport Planning and Research Institute Ministry of Transport, Beijing, CN;

Inventors:

Yue Qi, Beijing, CN;

Xiangjun Nie, Beijing, CN;

Min Dong, Beijing, CN;

Dachuan Wang, Beijing, CN;

Lu Sun, Beijing, CN;

Jia Tian, Beijing, CN;

Zhuo Fang, Beijing, CN;

Rui Li, Beijing, CN;

Lei Mei, Beijing, CN;

Jing Yang, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G06T 7/13 (2017.01); G06T 7/40 (2017.01); G06T 7/149 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00637 (2013.01); G06K 9/4676 (2013.01); G06K 9/6247 (2013.01); G06T 7/13 (2017.01); G06T 7/149 (2017.01); G06T 7/40 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/20116 (2013.01); G06T 2207/30184 (2013.01);
Abstract

A method of extracting a warehouse in a port from a hierarchically screened remote sensing image includes the following steps: first, recognizing a texture feature of a remote sensing image and extracting edge lines of a coast of a port; then, selecting a sample of an optional irregular texture region and forming, through a CA transformation, principal component images of different hierarchies by taking a ratio of a between-class difference to an intra-class difference being maximum as an optimization condition; sequentially, extracting a correlation relationship of the warehouse in the port, and forming a feature point set with recognized warehouses to be analyzed; and last, extracting a feature of a visually sensitive image through a scene image to obtain a feedback selection of a real scene image to extract the warehouse in the port accurately.


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