Automatic extraction of faults and fractal analysis from remote sensing data
Object-based classification is a promising technique for image classification. Unlike pixel-based methods, which only use the measured radiometric values, the object-based techniques can also use shape and context information of scene textures. These extra degrees of freedom provided by the objects...
Main Authors: | R. Gloaguen, P. R. Marpu, I. Niemeyer |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2007-01-01
|
Series: | Nonlinear Processes in Geophysics |
Online Access: | http://www.nonlin-processes-geophys.net/14/131/2007/npg-14-131-2007.pdf |
Similar Items
-
Derivation of groundwater flow-paths based on semi-automatic extraction of lineaments from remote sensing data
by: U. Mallast, et al.
Published: (2011-08-01) -
Fault Sensing Using Fractal Dimension and Wavelet
by: Mei Wang, et al.
Published: (2016-10-01) -
Automatic Vehicle Trajectory Extraction by Aerial Remote Sensing
by: Azevedo, Carlos Lima, et al.
Published: (2018) -
METHOD FOR AUTOMATIC CLUSTERING OF REMOTE SENSING DATA
by: Ирина Карловна Васильева, et al.
Published: (2019-07-01) -
Automatic Coastline Extraction and Changes Analysis Using Remote Sensing and GIS Technology
by: Muhammad Yasir, et al.
Published: (2020-01-01)