High-scale discontinuity detection applied to Landsat images

Katharine J. Jones

doi:10.1117/12.342919

22 March 1999 High-scale discontinuity detection applied to Landsat images

Katharine J. Jones

Proceedings Volume 3723, Wavelet Applications VI; (1999) https://doi.org/10.1117/12.342919
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

Landsat image data were produced from a multispectral scanner on Landsat satellites. Vegetation indices are based on the distinctive rise in the reflectance of green vegetation: a wavelength increase from visible red to reflective infrared caused by the selective absorption of red light by chlorophyll for photosynthesis. The spectral bandwidth of different Landsat crops are uniquely different and provide a basis for High Scale Discontinuity Detection. High Scale Discontinuity Detection applied to Landsat cross sections (1D signals) detects boundaries between urban areas and agricultural areas and different crops. These boundaries will be used to reconstruct an image based on boundaries. This approach might be usefully applied to IR images, laser remote sensing or any image where vegetation changes abruptly because of altitude or moisture.

Citation Download Citation

Katharine J. Jones "High-scale discontinuity detection applied to Landsat images", Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); https://doi.org/10.1117/12.342919

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available