The small features in crop fields are related to the precision level of crop discrimination using RS.
小地物问题是作物识别的精确度问题。
参考来源 - 基于多源数据复合分析的作物遥感识别方法研究The system development, application and prospects are introduced in this paper. Key technologies such as satellite data processing, sampling method, crop identification, crop condition diagnosis, disaster evaluation and yields estimation are still need researches and improvement.
本文介绍国家级农情遥感监测系统的研究、开发与应用,以及应进一步研究的关键技术问题,特别是数据处理、抽样方法、作物识别,长势诊断,灾害评估,产量估计的模型研究。
参考来源 - 国家级农情遥感监测系统的开发、运行与关键技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
作物识别是遥感作物估产的基础。
Crop identification is the basic work in crop yield estimation.
通过分类验证，使用该模型进行图像增强后，有助于提高农作物识别与图像分类的精度。
The model proved to be able to increase the accuracy of crop identification and image classification.
由于某些同期农作物在特定时期特定光谱段具有相似的光谱特征，在图像解译和分类时容易混淆，降低了农作物识别的精度。
But sometimes some different crop informations mix up for the similar spectral characters in the image so as to decrease the accuracy of crop identification.
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