Trends on information processing for remote sensing

Author

Chen, C.H.

Author_Institution

Dept. of Electr. Eng., Massachusetts Univ., Nortth Darthmouth, MA, USA

Volume

3

fYear

1997

fDate

3-8 Aug 1997

Firstpage

1190

Abstract

There has been greatly increased activity in the last twelve years on the use of information processing techniques on remote sensing problems including signal/image processing, compression, segmentation, feature extraction, pattern recognition, neural networks, etc. The past progress is reviewed from which a trend is developed. The trend shows a further emphasis on using neural networks and wavelet transforms for remote sensing

Keywords

feature extraction; geophysical signal processing; geophysical techniques; image processing; image segmentation; neural nets; pattern recognition; remote sensing; wavelet transforms; compression; feature extraction; geophysical measurement technique; image processing; information processing; land surface; neural network; pattern recognition; remote sensing; segmentation; terrain mapping; wavelet transform; Feature extraction; Image coding; Image processing; Image segmentation; Information processing; Neural networks; Pattern recognition; Remote sensing; Signal processing; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.606393

Filename

606393