用AI和卫星图一键分类地表特征，科研人员可快速上手。
deepTerra -- AI Land Classification Made Easy
- 整合数据采集到预测的全流程模块，支持自动处理卫星图像。
- 已应用于多个研究领域，显著提升土地分类效率与准确性。
- 适合遥感、环境监测等领域的研究人员快速开展项目。
deepTerra 是一个综合性平台，旨在利用机器学习与卫星影像简化地表特征分类。平台包含数据采集、图像增强、训练、测试和预测等模块，完整覆盖图像分类任务的全流程，极大简化了工作流。本文详细介绍了 deepTerra 的功能特性，展示了其在多个研究领域的实际应用，并探讨了未来可能的发展方向。
原文摘要 · Abstract (English)
deepTerra is a comprehensive platform designed to facilitate the classification of land surface features using machine learning and satellite imagery. The platform includes modules for data collection, image augmentation, training, testing, and prediction, streamlining the entire workflow for image classification tasks. This paper presents a detailed overview of the capabilities of deepTerra, shows how it has been applied to various research areas, and discusses the future directions it might take.
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