DocumentCode :
2141338
Title :
An edge detection method using 2-D autoregressive lattice prediction filters for remotely sensed images
Author :
Gurcan, Ridvan ; Erer, Isin ; Kent, Sedef
Author_Institution :
Informatics Inst., Istanbul Tech. Univ.
Volume :
6
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
4219
Abstract :
Edges characterize boundaries and are therefore a problem of fundamental importance in image processing. Edge detecting an image significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Edge detection is useful for segmentation, registration, and identification of objects in remote sensing images. Two dimensional lattice filters have been shown to be useful in many applications such as multidimensional spectral estimation, image data compression, high-resolution radar imaging, and removal of correlated clutter to enhance the detection ability of small objects in images. In this work, lattice filters are used for detecting the edges in remote sensing images. Lattice filter can be used to predict the correlated parts in an image and the resulting error (the output of the filter) will be edges. Edge detection results have been compared with other conventional edge detection methods as well as wavelet based methods. Results show that the proposed method is a good candidate for edge detection problem in remotely sensed images
Keywords :
data compression; edge detection; geophysical techniques; image enhancement; lattice filters; radar imaging; remote sensing by radar; 2D autoregressive lattice prediction filters; SAR imaging; clutter removal; edge detection; image data compression; image identification; image processing; image registration; image segmentation; lattice filter; multidimensional spectral estimation; radar imaging; remote sensing; remotely sensed images; synthetic aperture radar; Data compression; Image edge detection; Image processing; Image segmentation; Information filtering; Information filters; Lattices; Multidimensional systems; Radar detection; Remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370066
Filename :
1370066
Link To Document :
بازگشت