# HSI_Classification

**Repository Path**: mantte6199/HSI_Classification

## Basic Information

- **Project Name**: HSI_Classification
- **Description**: HSI_分类

高光谱图像分类是一项像素明智的任务，

在这里，我展示了一些用于高光谱图像分类的传统算法和深度学习方法。

有关详细信息，请阅读特定方法中的每个自述文件。 在本自述文件中，我列出了这些方法。
基于传统机器学习的方法

    KNN(K近邻)
    SVM(支撑向量机)

基于深度学习的方法

    1D-CNN (一维卷积神经网络)
    2D-CNN (二维卷积神经网络)
    3D-CNN (三维卷积神经网络)

- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 11
- **Forks**: 1
- **Created**: 2020-10-01
- **Last Updated**: 2025-07-14

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# HSI_Classification

Hyperspectral Imagery Classification is a pixel wise task, 

Here, I show some traditional algorithms and deep learning methods for hyperspectral imagery classification.

For detail, please read every readme file in the specificed methods.
In this readme, I give a list for these methods.

-------------------------------
## Traditional machine learning based methods
- KNN(K近邻)
- SVM(支撑向量机)

-------------------------------
## Deep learning based methods
- 1D-CNN (一维卷积神经网络)
- 2D-CNN (二维卷积神经网络)
- 3D-CNN (三维卷积神经网络)