9 | | TBD |
| 9 | As you can verify by looking at the "extra" (non-EPSG) CRS definitions [http://kahlua.eecs.jacobs-university.de:8080/def/crs/OGC/0/ provided] by SECORE, among others there are three new Index CRSs, namely [http://kahlua.eecs.jacobs-university.de:8080/def/crs/OGC/0/Index1D 1D], [http://kahlua.eecs.jacobs-university.de:8080/def/crs/OGC/0/Index2D 2D] and [http://kahlua.eecs.jacobs-university.de:8080/def/crs/OGC/0/Index3D 3D] reference systems. |
| 10 | |
| 11 | The ''index'' prefix refers to the fact that ''integral'' coordinates shall be used in the geometric (cartesian) space. The n-dimensional Coordinate System (CS) is supposed to be bound to an multidimensional array (marray) of cells: the origin of the CS is placed in the centre of the 0-cell. This represents the datum and completes the picture to define the CRS. |
| 12 | |
| 13 | [[Image(indexCRS.png, center, 70%)]] |
| 14 | |
| 15 | Using index CRSs can be useful especially when using `rasdaman` for applications not related to the geo-referenced world of satellite products, or more generally to remote-sensing imagery. For instance, `rasdaman` could be used to process [http://link.springer.com/article/10.1134/S105466181304007X large bio-medical images], which do not need a geo-reference. |
| 16 | |
| 17 | The previous case is out of scope in the OGC services, and it is probably better handled via direct `rasql` requests (also via [PetascopeUserGuide Petascope] `rasql` web interface). However, more interestingly, index CRSs could also be used to access "pixel" coordinates from an image, or to access layers of height/time via their ordinal position in the stack (this requires CRS extensions [Features available]). |
| 18 | |
| 19 | Index CRSs exploit indexed cartesian CSs by defining the Unit of Measure (Uom) of each of its axes to be an integral. The specific terminology that is used is [http://www.opengis.net/def/uom/OGC/1.0/GridSpacing GridSpacing], defined by OGC in the context of the [http://www.opengeospatial.org/standards/deprecated deprecated] (2D) Image CRS. Indeed index CRSs are considered the n-dimensional extension/generalization of the previously defined [http://schemas.opengis.net/ImageCRSs/ Image CRSs]: this means replacing the typically-2D terminology of ''pixels'', ''rows'' and ''columns'' with the more general ''cells'' and ''axis''. |
| 20 | |
| 21 | The following picture clarifies what is the space of coordinates covered by a standard 2D (linear) cartesian CS, and an indexed one: |