Hamlin Beach State Park dataset

Hamlin Beach State Park数据集是由罗切斯特理工学院切斯特F.卡尔森成像科学中心创建的高分辨率多光谱数据集，专为非RGB遥感图像的语义分割设计。该数据集包含18个不平衡类别，数据来源于无人机系统（UAS）采集，具有4.7cm的地面采样距离（GSD）。数据集被预分为训练、验证和测试集，以标准化评估并推动非RGB图像分类框架的最新技术。该数据集的应用领域包括精准农业、环境监测等，旨在解决高分辨率遥感图像中的语义分割问题。

The Hamlin Beach State Park Dataset is a high-resolution multispectral dataset created by the Chester F. Carlson Center for Imaging Science at Rochester Institute of Technology, specifically designed for semantic segmentation of non-RGB remote sensing images. This dataset contains 18 imbalanced classes, with data collected via Unmanned Aircraft Systems (UAS) and a ground sampling distance (GSD) of 4.7 cm. The dataset is pre-split into training, validation, and test sets to enable standardized evaluation and advance the state-of-the-art in non-RGB image classification frameworks. Its application scenarios include precision agriculture, environmental monitoring and other fields, aiming to address semantic segmentation challenges in high-resolution remote sensing images.

搜集汇总

背景与挑战

背景概述

Hamlin Beach State Park数据集是一个高分辨率多光谱遥感数据集，专为非RGB图像语义分割设计，包含18个不平衡类别，数据来源于无人机采集，地面采样距离为4.7cm。数据集已预分为训练、验证和测试集，旨在标准化评估并推动非RGB图像分类技术，应用于精准农业和环境监测等领域。