8. API¶
hs_process
is a Python package for processing and manipulating aerial
hyperspectral imagery.
hs_process
emphasizes the ability to batch process datacubes, with the
overall goal of keeping the processing pipeline as “hands-off” as possible.
There is also a focus of maintaining the ability to record some of the
subjective aspects of image processing.
8.1. Classes¶
|
Class for batch processing hyperspectral image data. |
|
Class containing default values and/or settings for various |
|
Class for reading and writing hyperspectral data files, as well as accessing, interpreting, and modifying its associated metadata. |
|
Basic tools for manipulating Spyfiles and accessing their metadata. |
|
Class for aiding in the segmentation and/or masking of image data to filter out pixels that are of least interest. |
|
Class for manipulating data within the spatial domain (e.g., cropping a datacube by a geographical boundary). |
|
Class for manipulating data within the spectral domain, which is usually pixel-based. |