基于内容的图像检索在土壤侵蚀遥感调查中的应用

土壤侵蚀调查由于技术的限制，目前利用遥感图像判别土壤侵蚀强度主要是人工判读或人机交互式勾绘．为减轻人工判读勾绘的负担，从图像分析角度，利用基于内容的图像检索技术辅助人工目视解译，实验初步表明这种思路是可行的．

Study on Content-Based Image Retrieval and Its Application in Investigation of Soil Erosion by Remote Sensing

Soil erosion is one of the most typical natural disasters in China. However, due to the limitation of current technology, the investigation of soil erosion through remote sensing images is currently done by human beings manually which depends on human interpretation and interactive selection. The work burden is so heavy that errors are usually inevitably unavoidable. The paper proposes the technique of content-based image retrieval to solve this problem. The adopted features are dominant color histogram and gray-level co-occurrence matrix based texture features. The preliminary experiments show that it is feasible.