Published March 18, 2014 | Version v1
Journal article

Application of An Improved Canny Algorithms Operator in RS Data

  • 1. Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Sichuan (China)
  • 2. College of Geophysics, Chengdu University of Technology, Sichuan (China)

Description

When we deploy the seismic line, the data received by seismometer will be affected by ground water bodies. Therefore, we need to extract water bodies by remote sensing image before deploy the seismic line. In this paper, an approach is proposed to extract water bodies. First, use Canny edge detector to extract the edges of the image. Second, based on three features of water body: gray-scale uniformity, edge irregularity and closed regions, this paper uses three means: dual-threshold judgment by gray-scale uniformity, edge irregularity verification based on least square method and closed region verification. During the extraction of water bodies in mountain regions which the topography was complicated, this approach proved to be fairly effective. And the deployment of seismic line was facilitated by this approach

Availability note (English)

Available from http://dx.doi.org/10.1088/1755-1315/17/1/012101

Additional details

Publishing Information

Journal Title
IOP Conference Series: Earth and Environmental Science (EES)
Journal Volume
17
Journal Issue
1
Journal Page Range
[5 p.]
ISSN
1755-1315

Conference

Title
35. international symposium on remote sensing of environment
Acronym
ISRSE35
Dates
22-26 Apr 2013
Place
Beijing (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47054765
Subject category
S58: GEOSCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; EXTRACTION; GROUND WATER; IMAGE PROCESSING; IMAGES; LEAST SQUARE FIT; MOUNTAINS; REMOTE SENSING; SEISMIC EVENTS; SEISMICITY; TOPOGRAPHY; VERIFICATION
Descriptors DEC
HYDROGEN COMPOUNDS; MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION; OXYGEN COMPOUNDS; PROCESSING; SEPARATION PROCESSES; WATER