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本文以乌鲁木齐幅卫片分析结果为例,将地物光谱统计分类结果与等密度分割影像进行比较,介绍一种目视解译卫星影像的方法,使遥感技术能在简陋条件下得到较广泛的应用。一、试验区概况试验区选在乌鲁木齐幅卫星影像(1975年9月11日)的一部分,位于东天山中部,分布着山地、山间盆地、洼地、山前冲积洪积平原等地貌单元。区内地貌类型的多样性和众多的地物类型,可使分类满足农牧业生产的要求。在山区,主要以牧业应用为目的,选择亚高山草甸、森林草甸、干草原、荒漠草原等地类,分析四季草场的分类和监测。在冲积、洪积平原区,主要以农业应用为目的,选择玉米、棉花、小麦等地类,分析农作物的分类和布局。为建立光谱响应模式,选择区内像元响应曲线明显、均一、光谱响应差异较大的地
In this paper, the result of Urumchi’s amplitude analysis is taken as an example to compare the result of statistical classification of the object spectrum with that of the isopycnic density. A method of visual interpretation of the satellite image is introduced, which can make the remote sensing technology more broadly application. I. Overview of the Experimental Area The experimental area was selected as part of the satellite image of Urumqi (September 11, 1975). It is located in the central part of the East Tianshan Mountains and is characterized by the distribution of mountain and mountain basins, depressions, alluvial plains and alpine plains. The diversity of landform types and the variety of landform types in the area can make the classification meet the requirements of agricultural and livestock husbandry production. In mountainous area, the main purpose of animal husbandry is to select sub-alpine meadow, forest meadow, steppe and desert grassland, and analyze the classification and monitoring of the four seasons. In the alluvial and alluvial plain areas, mainly for agricultural purposes, corn, cotton, wheat and other places are selected to analyze the classification and layout of crops. In order to establish the spectral response mode, the pixel response curve of the selected area is obvious and uniform, and the spectral response varies greatly