Instructions for use
Binary classification utilizes spectral and spatial information of various land cover types in remote sensing images to classify a specific type of land cover feature using deep learning algorithms. It determines whether each pixel in the image belongs to the category of interest, generating a binary raster dataset with values of 0 and 1, where 0 represents non-interest categories and 1 represents the category of interest.
The binary classification function allows for fine-grained interpretation of images at the pixel level. The flexibility of the raster results enables optimization of classification outcomes through a series of subsequent post-processing steps. The resulting raster data can also be converted into vector data for further analysis.
Binary classification is commonly used to identify distinct single land cover types, such as roads, rivers, and buildings. It allows for the calculation of information on the location, boundaries, and area of the category of interest.
Parameter Description
| Parameter name | Default | Parameter description | Parameter Type |
|---|---|---|---|
| File Type | Dataset | Specify File Type. Select Dataset or Folder Type. | Boolean |
| Model File | Specify Model File (*.sdm) for Binary Classification | String | |
| Tile overlap (pixel) | 0 | Specify a Tile overlap (pixel) value to reduce the problem of inadequate prediction of slice edge data. The larger the slice overlap, the longer it takes to infer the entire image | Integer |
| Amount of single step operation | 1 | Specifies the number of pictures to process at one time when reasoning | Integer |
| Processor type | GPU | Specifies the processor type | String |
| GPU number | 0 | Input the GPU number to support multi-card reasoning, that is, input multiple GPU numbers. If "0, 1, 2" is entered, it will automatically become "012" | String |
| Other Parameter Settings (Optional) |
false | Check this box to set the Bounds Dataset/Datasource parameter. | Boolean |
| Result Datasource | Datasource where the specified Dataset storing the result resides | Datasource | |
| Result Dataset | binclassify_result | The specified Resulting dataset name. | String |
Output Result
| Parameter name | Parameter description | Parameter Type |
|---|---|---|
| Result Dataset | Result Dataset | DatasetVector |