urbanlc.model.pipeline_transforms

Functions

compute_BUI(img, index_a, index_b)	Compute the Built-Up Index (BUI).
compute_NDBI(img, index_swir, index_nir)	Compute the Normalized Difference Built-Up Index (NDBI).
compute_NDVI(img, index_nir, index_red)	Compute the Normalized Difference Vegetation Index (NDVI).
compute_NDWI(img, index_green, index_nir)	Compute the Normalized Difference Water Index (NDWI).
mix_patch(image, gt[, alpha, beta])	Mix patches in the input image and ground truth following Beta distribution.
rand_bbox(size, lam)	Generate a random bounding box.

Classes

AppendBUI(index_a, index_b)	Compute the Built-Up Index (BUI) for PyTorch Tensor.
LandsatTransformer(means, stds[, ...])	Input Preprocessor for Landsat data
MSSTransformer([means, stds])	Input Preprocessor for Landsat data from MSS sensor (Landsat 1 - 5).
OLITIRSTransformer([means, stds])	Input Preprocessor for Landsat data from OLI/TIRS sensor (Landsat 8 - 9).
TMTransformer([means, stds])	Input Preprocessor for Landsat data from TM sensor (Landsat 4 - 7).