> 2009/1/13 Martin Desruisseaux wrote:
>
>> Yes we can add the operation in an unsupported module. Just for information,
>> if
>> the operators are pure JAI, the following project may be worth a look. I
>> have no
>> idea how good it is and if it still active however:
>>
>>https://jai-operato
2009/1/13 Martin Desruisseaux wrote:
> Yes we can add the operation in an unsupported module. Just for information,
> if
> the operators are pure JAI, the following project may be worth a look. I have
> no
> idea how good it is and if it still active however:
>
>https://jai-operators.dev.jav
Michael Bedward a écrit :
> Would it be possible / useful to add new operators to a new or
> existing unsupported module ? I need to do more such work for my
> project anyway, and if I could add them to the geotools unsupported
> modules it would be very helpful for me to get feedback on the
> ope
Hello Martin,
> This is a nice example, but I wonder: using a mask in this case means applying
> the contraints in a "all or nothing" fashion. This is quite convenient for
> exploratory work. But as the model become more elaborate, I would intuitively
> (I
> may be totally wrong - I work more with
Hello Mickael
Michael Bedward a écrit :
> Then there is another project where I am working on simulations of
> animal populations where the summed value of habitat resources
> available to an animal is constrained by the presence of other animal
> territories.
This is a nice example, but I wonder
2009/1/10 Martin Desruisseaux :
>
> The inconvenient of the default implementation of the Convolve operator is
> that
> if we use a kernel of said 4x4 and if there is only 1 NaN value among the 16
> pixels under that kernel, then we get NaN. So we can loose a lot of area that
> way. We could creat
Michael Bedward a écrit :
> Would the MaskedConvolve operator be a useful addition to the
> gt-coverage module ?
It could for images backed by integer values. For floating point values, I tend
to favor a different approach but I don't know if it is applicable in your case.
In my case, image backe
2009/1/7 Martin Desruisseaux wrote:
> However the above involves a lot of images (up 6) because of intermediate
> steps.
> Maybe this is not an issue. But if it is, you could also create your own JAI
> operations doing all this work in one step. It also give you more control on
> what is computed
Hi Martin,
Many thanks for your answer - I was actually hoping that you would respond !
I haven't studied ROI use in any detail yet, but at first glance it
doesn't seem to be as integrated into JAI operations as I thought it
would be. But I'll look into it more.
I think I'll try your suggestion
Hello Michael
ROI is one aspect of JAI that I lack experience in. The approach that I'm
writting below may be less efficient than ROI. I posting it just in case, but it
may be worth to explore more on the ROI side.
A possible approach may be to binarize the mask in order to create a new image
con
Hi all,
In my app I have two single band grid coverages, one with double
values and one with integer values. For each grid cell in the first
coverage I want to calculate the sum of values within a given
distance, using the second coverage as a mask (ignore pixels with
value <= 0). Finally I want
11 matches
Mail list logo
