Use of RS images
Jordi Inglada <[email protected]> Tue, 4 Mar 2003 16:13:21 +0100
| Newsgroups | gmane.comp.gis.osrs |
|---|---|
| Message-ID | <[email protected]> |
Hello all,
I am trying to do an estimate of the cost of a project using satellite
images. I guess in this list there are lots of people working in
different thematic areas, so I could get an interesting sampling of
the user community.
I suppose that a projet where RS images are used can be split in the
following phases:
1. Identification of the sensor(s) suitable for the application.
2. Search for the data (date, acquisition mode, etc.)
3. Data pre-processing:
a. radiometric corrections
b. geometric corrections (geocoding, mosaics, ect.)
4. Image processing: information extraction (classification,
vectorization, object recognition, etc.)
5. Information exploitation (use of the information in a GIS, decision
taking, etc.)
My goal is stablishing the cost ratio between these activities
(budget+human ressources) for a project and try to show that point
nb. 5, which is the use of the specific knowledge of the image user,
has a very low cost with respect to the others. If this is true, one
can assume that making data handling (pre-processing and processing)
easier, can help develop the use of RS images.
I would very much appreciate if you took the time to fill in this
simple form.
8-< ----------------------------------------------------------
Activity domain:
Size of the project:
Costs:
1. Sensors: %
2. Data:
Research %
Price of data %
3. Pre-processing:
Radiometry %
Geometry %
4. Image processing: %
5. Information exploitation: %
8-< ----------------------------------------------------------
If you know of any colleague of you who could give some info, please
let them know about my question.
I can send a synthesis of the answers to the list.
Thanks everybody.
--
Jordi Inglada
CNES - Centre Spatial de Toulouse
DSO/OT/QTIS/VP - BPI 811
18, avenue Edouard Belin
31401 Toulouse Cedex 04 - France
Tel. +33.(0)5.61.27.33.97 - Fax. +33.(0)5.61.27.31.67
GSM. +33.(0)6.89.32.92.94
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