Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

A method for eliminating false alarms of ship detection in SAR image based on two-level dem sea and land database

A technology for eliminating false alarms and ships, which is applied in the field of remote sensing information processing, can solve the problems of high false alarm rate and unguaranteed accuracy of ships, and achieve the effects of reducing interference, reducing the amount of computation, and ensuring accuracy

Active Publication Date: 2020-01-17
NORTH CHINA UNIVERSITY OF TECHNOLOGY
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First of all, if only low-resolution sea-land databases are used, the accuracy of ship detection cannot be guaranteed, and the false alarm rate will be high; secondly, if only high-resolution sea-land databases are used, a large number of unnecessary calculations will occur

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for eliminating false alarms of ship detection in SAR image based on two-level dem sea and land database
  • A method for eliminating false alarms of ship detection in SAR image based on two-level dem sea and land database

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] now refer to figure 1 The flow chart, taking SAR remote sensing images as an example, describes the method for eliminating false alarms for ship detection in SAR images based on dual-level DEM sea and land storage according to an embodiment of the present invention. This embodiment includes the following steps:

[0045]A) Construct the first-level low-resolution sea-land library to quickly shield the land area, including:

[0046] A1) Construction of low-resolution land and sea reservoirs based on DEM

[0047] The DEM data used is ASTER GDEM data, and its spatial resolution reaches 1 arc second × 1 arc second (about 30m × 30m). Firstly, the original DEM data is preliminarily segmented into land and sea to obtain a binary image, and then the preliminary sea and land segmentation results are further processed according to different actual needs. Specifically include:

[0048] -DEM data binarization: Since the value of the sea level in the DEM data is 0, the value of th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a two-stage DEM sea-land library-based false-alarm eliminating method for SAR image ship detection, and belongs to the field of remote sensing information treatment. The method comprises the following steps of firstly, building a first-stage low-resolution sea-land library on the basis of a DEM to achieve fast shielding of a land area, thereby reducing the data amount of operation; secondly, carrying out ship detection on a sea area by adopting a dual-parameter CFAR detection technology to obtain a target chip; and finally building a second-stage high-resolution sea-land library on the basis of the DEM to carry out false-alarm eliminating on the target chip result of the SAR image ship detection and fast eliminating land false-alarm targets generated by coastal land, large islands and coastal building facilities to further reduce the false-alarm rate. According to the method, the operation amount of ship detection is reduced and the detection accuracy is also ensured.

Description

technical field [0001] The invention belongs to the field of remote sensing information processing, and relates to a method for eliminating false alarms of SAR image ship detection based on a double-stage DEM sea-land library. Background technique [0002] Ocean remote sensing is an important field of satellite remote sensing technology. With the increasing importance of ocean rights and interests, ocean remote sensing has been widely used in the economic and military fields of countries all over the world. Synthetic Aperture Radar (SAR) system has become the main data source for satellite ocean ship monitoring due to its all-day, all-weather work and large coverage area. However, due to the fact that the ocean remote sensing data of satellite imaging covers a wide area, it often includes a large proportion of land areas. For marine ship target detection, it is completely unnecessary to detect ships in land areas in SAR images, which not only wastes limited processing resou...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T17/05G01S13/90
CPCG01S13/90G06T7/0002G06T17/05G06T2207/10044G06T2207/20036G01S13/9027
Inventor 毕福昆孙嘉怡秦艳艳张旭边明明
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products