Dataset: OHID-1: A New Large Hyperspectral Image Dataset for Multi-Classification
We build a new set of hyperspectral data with complex characteristics using data from Orbita and named it Orbita Hyperspectral Images Dataset-1 (OHID-1). It describes different type of areas at Zhuhai City, China.
original dataBaidu Netdisk: https://pan.baidu.com/s/1qMtY7ossLwRh0pI2v2bnDg?pwd=bi70 code:bi70
This link provides access to the raw data and annotations of the OHID-1 dataset, which includes two different data formats: .mat and .tif. All data have a size of 5056x5056 pixels. The raw data consists of 32 bands, while the annotation data consists of 1 band.
datasetThe "image" folder contains 10 hyperspectral images, each with 32 spectral bands, a size of 512 × 512 pixels, and depicting 7 types of objects. The naming format is 201912_n.tif, where n ranges from 1 to 10. The "labels" folder contains the labels for the ten images in the "images" folder, with the same naming format of 201912_n.tif, where n also ranges from 1 to 10. Each label has values ranging from 0 to 7, and the category represented by each value can be found in sample_proportion.png.201912_n.png, where n ranges from 1 to 10, represents the bar chart distribution of each category in 201912_n.tif.201912_n_color.png, where n ranges from 1 to 10, represents the visualized pseudocolor map of the labels in 201912_n.tif.
preprocessingThe "HSI_Classification" folder Provide the code for band synthesis and slicing of the original file.
codeThe "HSI_Classification" folder contains the code for ID CNN, 2D CNN, 3D CNN, and SVM. These codes are built upon the HSI_Classification repository, with the primary changes made in the unit.py file. The "HyLiTE" files store the HyLITE code. These codes are built upon HyLITE, with the main changes made in the main.py file. We have added code for reading some additional files to make it compatible with other datasets.
To use the code, please follow the instructions from the original project code, configure the environment, and replace the file that we have changed.