地球资源数据云——数据资源详情

卫星图像分类

该数据集《Satellite Image Classification》主要用于多分类任务，数据形态以图像为主，应用场景偏向文本内容分析。 题目说明：Satellite Remote Sensing Image - RSI - CB256 任务类型：图像多分类。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。 Context Satellite image Classification Dataset - RSI - CB256 , This dataset has 4 different classes mixed from Sensors and google map snapshot Content The past years have witnessed great progress on remote sensing (RS) image interpretation and its wide applications. With RS images becoming more accessible than ever before, there is an increasing demand for the automatic interpretation of these images. In this context, the benchmark datasets serve as essential prerequisites for developing and testing intelligent interpretation algorithms. After reviewing existing benchmark datasets in the research community of RS image interpretation, this article discusses the problem of how to efficiently prepare a suitable benchmark dataset for RS image interpretation.