HJ-1卫星数据质量及其在土地利用中的应用研究

RESEARCHES ON HJ-1 SATELLITE IMAGE QUALITY AND LAND USE CLASSIFICATION PRECISION

通过对影像目视质量、光谱特性、噪声特征和几何纠正精度的分析,研究了HJ-1小卫星的数据质量;选择特征变量,优化训练样本,建立了分类模板,构建最大似然、最小距离和马氏距离3种分类器,对研究区域进行土地利用计算机自动分类,并对分类精度进行评价,研究了小卫星影像的土地利用分类精度。结果表明,HJ-1卫星数据质量较好,土地利用分类精度较高,可以在土地利用研究领域成为遥感数据更新的主体。

In order to understand the HJ - 1 satellite image application potential in the land use field, the authors studied image quality through analyzing visual quality, spectral characteristics, noise features and geometry correction precision. The image land use classification precision was inve bles, optimizing training samples, establishing classification templates stigat and ed through selecting characteristic varia- constructing Maximum Likelihood, Minimum Distance and Mahalanobis Distance so as to make land use classification sion. The results show that the HJ - 1 satellite image quality is satisfactory and and the evaluate the classification preciland use classification precision is high. The image can become the main data source for remote sensing data renewal in land use research.