Public recruited to help interpret Mars images.

Public can help interpret flood of UA camera's Mars pictures.
By Dan Sorenson
Arizona daily star
Tucson, Arizona | Published: 03.24.2007
"Computer users with some time and bandwidth on their hands can help
investigate the cosmos. Using a Web-based application called
Clickworker, users can help classify the land features in the flood of
pictures coming back from the University of Arizona's Mars-orbiting
camera.
"HiRISE (High-resolution Imaging Science Experiment) is sending back
so much information that planetary scientists are looking forward to
help classifying the images for a database of Martian land
formations.
"Volunteers are asked to train for a few minutes identifying test
images on a HiRISE Web site, "stamping" features on the Mars pictures
with icons for boulders, channels, craters, dust devils, windstreaks,
dunes, gullies, lava, layers, patterned land, polar areas and one
called just plain "interesting."
http://www.azstarnet.com/sn/science/175126


Clickworkers for HiRISE.
http://clickworkers.arc.nasa.gov/hirise


Bob Clark

On May 6, 6:03 am, Robert Clark wrote:
Public can help interpret flood of UA camera's Mars pictures.
By Dan Sorenson
Arizona daily star
Tucson, Arizona | Published: 03.24.2007
"Computer users with some time and bandwidth on their hands can help
investigate the cosmos. Using a Web-based application called
Clickworker, users can help classify the land features in the flood of
pictures coming back from the University of Arizona's Mars-orbiting
camera.
"HiRISE (High-resolution Imaging Science Experiment) is sending back
so much information that planetary scientists are looking forward to
help classifying the images for a database of Martian land
formations.
"Volunteers are asked to train for a few minutes identifying test
images on a HiRISE Web site, "stamping" features on the Mars pictures
with icons for boulders, channels, craters, dust devils, windstreaks,
dunes, gullies, lava, layers, patterned land, polar areas and one
called just plain "interesting."http://www.azstarnet.com/sn/science/175126

Clickworkers for HiRISE.http://clickworkers.arc.nasa.gov/hirise

Bob Clark

I tried some to see what was going on. Land patterns are to be
classfied so a database may search for type.

A list of type like "patterned", "dunes", gullies" etc. are given to
be placed on the map with the clicker button.

Instuctions given the user guidance only in the selection. Making
each persons type the idea. A gully was not trained.

So common interpretation was the idea.

A useful work, it classifys the landforms at a minimum. Making a
computer image recognizer is a modern technology not utilized in this
project evidently.

It is fun work though and useful.

I've been helping interpret Mars imagery for four years. Best of luck
in getting anybody to take you seriously.

Douglas Eagleson wrote:
On May 6, 6:03 am, Robert Clark wrote:
Public can help interpret flood of UA camera's Mars pictures.
By Dan Sorenson
Arizona daily star
Tucson, Arizona | Published: 03.24.2007
"Computer users with some time and bandwidth on their hands can help
investigate the cosmos. Using a Web-based application called
Clickworker, users can help classify the land features in the flood of
pictures coming back from the University of Arizona's Mars-orbiting
camera.
"HiRISE (High-resolution Imaging Science Experiment) is sending back
so much information that planetary scientists are looking forward to
help classifying the images for a database of Martian land
formations.
"Volunteers are asked to train for a few minutes identifying test
images on a HiRISE Web site, "stamping" features on the Mars pictures
with icons for boulders, channels, craters, dust devils, windstreaks,
dunes, gullies, lava, layers, patterned land, polar areas and one
called just plain "interesting."http://www.azstarnet.com/sn/science/175126

Clickworkers for HiRISE.http://clickworkers.arc.nasa.gov/hirise

Bob Clark

I tried some to see what was going on. Land patterns are to be
classfied so a database may search for type.

A list of type like "patterned", "dunes", gullies" etc. are given to
be placed on the map with the clicker button.

Instuctions given the user guidance only in the selection. Making
each persons type the idea. A gully was not trained.

So common interpretation was the idea.

A useful work, it classifys the landforms at a minimum. Making a
computer image recognizer is a modern technology not utilized in this
project evidently.

It is fun work though and useful.