Transcript An Overview of Remote Sensing and Image Processing

An Overview of Remote
Sensing and Image
Processing
by
Miles Logsdon
with thanks to
Robin Weeks
and
Frank Westerlund
What is Remote
Sensing?
 Remote Sensing is a technology for
sampling radiation and force fields to
acquire and interpret geospatial data to
develop information about features,
objects, and classes on Earth's land
surface, oceans, and atmosphere (and,
where applicable, on the exterior's of
other bodies in the solar system).
 Remote Sensing is detecting and
measuring of electromagnetic energy
(usually photons) emanating from distant
objects made of various materials, so
that we can identify and categorize these
object by class or type, substance, and
spatial distribution.
Land surface from
satellite
 Four landsat-5 Thematic Mapper
multispectral image mosaic displayed in
4,3,2-RGB (false color)
 August 2nd and 27th, 1998, 10:15a.m.
pst.
 16 day repeat, 30m
Ocean Color
SeaWiFs classified ocean color
image with unclassified land
surface displayed 632-RGB
August 16th, 1999
Daily, 1km
Time series
One year of daily AVHRR at 1km of the Amazon Basin
Extra
Info
http://courses.washington.edu/urbdp467/handouts.html
Reflected
Light
The “PIXEL”
Wavelength (Bands)
Band Combinations
3,2,1
4,3,2
5,4,3
Resolution and Spectral
Mixing
Spectral Mixutre
Spectral Signatures
Spectral Profile
Spatial Profile
Spectral profile
surface
Spectral Dimensions
3 band space
Clusters
1d classifier
Unsupervised Classification
ISODATA - Iterative Self-Organizing Data
Analysis Technique
ISODATA clusters
Supervised
Classification
Parametric
classifiers
Classification
Systems
http://courses.washington.edu/urbdp467/classify.html
Classification
Hybrid
Classification
Hybrid “superblocks”
Feature Space
Ground Truth
Classified Product
Working with
ERDAS 8.3.1
http://courses.washington.edu/urbdp467/exer.html
*See Quick Tips
DATA:
D:/classes/riv2000/kingco/kc_tm98raw.i
mg
D:/classes/riv2000/kingco/issaquah_quad.img