Use of adaptive segmentation and classification algorithms in satellite imagery

Author

Lindquist, Claude S. ; Tealdi, Daniel A.

Author_Institution

Dept. of Electr. & Comput. Eng., Miami Univ., FL, USA

Volume

2

fYear

1995

fDate

Oct. 30 1995-Nov. 1 1995

Firstpage

1368

Abstract

Use of satellite imagery continues to grow. Development of DSP algorithms for automated analysis is therefore becoming increasingly important. Areas of immediate application are diverse such as agriculture, deforestation, soil erosion, etc. This paper presents adaptive edge algorithms which identify region boundaries and pattern recognition algorithms to classify the regions within these boundaries. An illustrative example using a satellite image of an agricultural area is presented to demonstrate these algorithms.

Keywords

satellite communication; DSP algorithms; adaptive classification algorithms; adaptive edge algorithms; adaptive segmentation algorithms; agricultural area; agriculture; automated analysis; deforestation; edge detection algorithms; pattern recognition algorithms; region boundaries identification; satellite image; satellite imagery; soil erosion; Agriculture; Algorithm design and analysis; Classification algorithms; Digital signal processing; Frequency domain analysis; Image edge detection; Image segmentation; Pattern recognition; Satellites; Soil;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-7370-2

Type

conf

DOI

10.1109/ACSSC.1995.540922

Filename

540922