<strong>CAU-APC-SEG</strong>.zip is the training dataset for the paper "<strong>Deep semantic segmentation for plastic-covered greenhouses and plastic-mulched farmlands from VHR remote sensing images</strong>".

Agricultural plastic covers (APCs) have been widely utilized around the globe nowadays for improving crop growing conditions hence to increase crop yield and quality. Plastic-covered greenhouses (PCGs) and plastic-mulched farmlands (PMFs) are two major APC categories. Due to the spectral similarity, it remains a challenging task to separate them from each other. <strong>CAU-APC-SEG</strong> of this study is the dataset which contains both PCGs and PMFs from very high resolution (VHR) images.农用塑料覆盖物（Agricultural Plastic Covers, APCs）目前已在全球范围内得到广泛应用，可改善作物生长条件，进而提升作物产量与品质。塑料大棚（Plastic-Covered Greenhouses, PCGs）与地膜覆盖农田（Plastic-Mulched Farmlands, PMFs）是农用塑料覆盖物的两大主要类别。由于二者光谱特征相似，精准区分它们仍是一项极具挑战性的任务。本研究中的**CAU-APC-SEG**数据集，包含源自超高分辨率（Very High Resolution, VHR）图像的塑料大棚与地膜覆盖农田样本。

搜集汇总

背景与挑战

背景概述

CAU-APC-SEG是一个农业塑料覆盖物（APCs）的语义分割训练数据集，包含塑料覆盖温室（PCGs）和塑料覆盖农田（PMFs）的非常高分辨率（VHR）遥感图像，用于解决两者因光谱相似性难以区分的问题。