j, -size= Limit the size of each extracted file C, -directory= Extract files/folders to a custom directory (default: current working directory) d, -depth= Limit matryoshka recursion depth (default: 8 levels deep) M, -matryoshka Recursively scan extracted files D, -dd= Extract signatures (regular expression), give the files an extension of, and execute e, -extract Automatically extract known file types y, -include= Only show results that match x, -exclude= Exclude results that match I, -invalid Show results marked as invalid b, -dumb Disable smart signature keywords m, -magic= Specify a custom magic file to use A, -opcodes Scan target file(s) for common executable opcode signatures R, -raw= Scan target file(s) for the specified sequence of bytes B, -signature Scan target file(s) for common file signatures k, -continue Don't stop at the first match T, -minsn= Minimum number of consecutive instructions to be considered valid (default: 500) Only cells that fall within the specified shape of the feature data will receive the values of the Input raster on the output raster.-Y, -disasm Identify the CPU architecture of a file using the capstone disassembler Extract by Mask exampleĪ feature dataset can be used for the mask. In the extraction tool, as demonstrated in the image below, those locations that are not NoData in a mask raster will retain the value assigned to that location in the Input raster. There are a number of ways to create a mask raster using various ArcGIS Spatial Analyst tools. To perform this type of extraction, use the Extract by Mask tool. The mask can be either a raster or a feature dataset. Extractions with a maskĪnother dataset, the mask, can be used to identify the cells that will be extracted to a new raster. The points must be identified by their x,y coordinate locations. To perform an extraction based on points, use the Extract by Points tool. You can extract particular cells from a raster by defining a list of the coordinate points you are interested in. The cells to extract can be determined by individual point locations or from a group of locations of any size or shape as identified by a mask. Extraction by locationĬells can be extracted based on their spatial location. In the image below, an extraction polygon was identified, but a parameter was specified to extract the cells outside rather than inside the polygon. The location of the vertices of the polygon must be input. To perform an extraction based on a polygonal shape, use the Extract by Polygon tool. In the image below, the cells inside the specified rectangular shape were extracted. The lower left and upper right corners of the rectangle must be identified. To perform a rectangular extraction, use the Extract by Rectangle tool. In the image below, all cells (cell centers) that fall within the circle are extracted: Rectangular area extraction The location of the center of the circle and the radius must be specified. To perform a circular extraction, use the Extract by Circle tool. You can extract by a circle, rectangle, or polygon. You have the option to extract only the cells that fall inside or outside the shape. You can extract cells based on a specified shape. The cells that meet the specified query do not have to be contiguous. All cells that meet the query will return, for the cell location, the original value that was queried. Extraction by attributeĬells that meet a specified attribute query can be extracted to a new output raster with the Extract by Attributes tool.Įxamples of applications for this tool include the extraction of all cells that have a slope greater than 10 percent or the extraction of all cells attributed with zoning for commercial development. A subset of cells can be extracted into a new raster in several ways-by a selecting an attribute or a defined shape or by using another raster.
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