“What’s the best image format for map serving?” they ask me, shortly after I tell them not to serve their images from inside a database. “Is it MrSid? Or ECW? those are nice and small.” Which indeed they are. Unfortunately, outside of proprietary image server software I’ve never seen them be fast and nice and small at the same time. Generally the decode step is incredibly CPU intensive, presum...
If any of you have a problem with huge dataset for aerial photo, read this source to compress your data using GDAL.
For me, it works by simply create a *.bat file in notepad++ of mentioned code. If you have a lot of photos, just do it in a batch file by making a list for the whole photos.
As a summary, do this following step:
1. Copy the path of the whole photos in a csv file
2. Run the whole list in *.py to make it run as a batch file in the next processing
3. Run the GDAL bat file
If you get more confuse, just compress using Adobe photoshop. xD