I have orthophotos that are in .sid format. I have converted them to
tif/tfw with the lizardtech software, but they have black borders. I
would like to remove these borders so that I can use the orthophotos
in a tiled mosaic of the whole area of interest. Any thoughts
suggestions, or help would be greatly apprecieated.
--
Stephen Sefick
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.
I have orthophotos that are in .sid format. I have converted them to
tif/tfw with the lizardtech software, but they have black borders. I
would like to remove these borders so that I can use the orthophotos
in a tiled mosaic of the whole area of interest. Any thoughts
suggestions, or help would be greatly apprecieated.
--
Stephen Sefick
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.
Toronto, Canada
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"She knows there's no success like failure
and that failure's no success at all."
-Bob Dylan-
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--
Stephen Sefick
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.
I have orthophotos that are in .sid format. I have converted them to
tif/tfw with the lizardtech software, but they have black borders. I
would like to remove these borders so that I can use the orthophotos
in a tiled mosaic of the whole area of interest. Any thoughts
suggestions, or help would be greatly apprecieated.
I may be dreaming, but I seem to remember writing a script to do that
some time ago (maybe March?) to crop the blank edges off the NOAA BSB
format nautical charts. try searching the archives and wiki.
see also the image classification modules, r.mask, and "g.region zoom=".