Comparative analyses of East Texas forest cover maps generated from Landsat and AVHRR data

Comparing satellite data derived map products are affected by differences in data characteristics, image acquisition dates, processing techniques, and classification schemes used for assigning pixels to a thematic class. By comparing two forest maps generated from Landsat Enhanced Thematic Mapper Plus (ETM+) and Advanced Very High Resolution Radiometer (AVHRR) images acquired on the same day, and processed using identical classification scheme and methods these differences were minimized. The ETM+ derived map had higher classification accuracy values and more precise area estimates than the AVHRR derived map. In the ETM+ derived map, 87 of the 599 verification data were misclassified, whereas in the AVHRR derived map, 155 of the 469 verification data were misclassified. Detailed error analyses by land cover class revealed that a land use based definition of forest accounted for 74% (64 out of 87) and 57% (89 out of 155) of the classification errors in ETM+ and AVHRR derived maps, respectively.     

地形因素对航空面阵CCD影像的影响分析与评价

地形因素,包括地面起伏和地球曲率,是造成航空数字遥感影像变形的主要原因之一.本文以中国科学院遥感所自行研发的多模态航空CCD相机系统为对象,结合其成像模式和几何形态,分析了地形因素给影像带来的变形,推导出航空面阵CCD影像变形的一般公式,并通过概算进行了定量评价,得出了对于航空面阵CCD影像,要想得到高精度的几何处理,必须改正地球曲率影响的结论.     

一种基于多项式的图像压缩方法

介绍了数字图像压缩的一种新的思维方法，即在将给定的图像块根据纹理特征分为平滑块、斜面块、曲面块、边缘块后，在基于不同多项式对不同类图像块分别进行处理的过程中，对于包含大量高频信息的边缘块，通过提取边缘轮廓位置信息，减少图像块内的高频信息量，而后再对被边缘轮廓分割的新图像块进行分类、处理：由于把图像边缘轮廓的大部分高频信息分解于边沿信息中，因此提高压缩比时不会丢失太多高频细节，减少了物体的边界噪声和可见的图块边界，从而在相同压缩比的前提下，更加保证了图像的视觉效果。文章中给出了此种方法的理论公式、推导过程以及整个实现过程，并通过实例比较了此方法与二维离散余弦变换在图像压缩中的性能差异。     

基于植被-土壤二向反射模型的土壤含水量遥感

以北京地区为例，利用像元信息分解法，定量提取出区域植被盖度，由植被盖度得到区域叶面积指数，在只考虑一次散射的情况下，利用植被-土壤二向反射模型，提取出下层湿润土壤反射率。通过引入粗糙度因子建立起粗糙地表下土壤反射率与叶面积指数的函数关系，进而得出土壤含水量。     

Pixel Factory制作正射影像的应用探讨

通过Pixel Factory在一些大区域项目的高频率、高质量的使用,总结出了一套科学合理、高速高效的应用方法以及在应用过程中一些软件出现的普遍问题的解决办法。     

基于像素工厂的5D MarkⅢ航摄影像处理研究

阐述了利用无人机搭载佳能EOS 5D MarkⅢ相机获取的航摄影像数据,在像素工厂下制作DOM的全过程,着重讲解了空三加密处理流程,总结了需要注意的问题,可为今后相关数据的生产提供参考。     

岩石视反射率研究

根据对净月潭地区自然条件状况的分析和样品采集及数据预处理情况,采用线性回归方法对岩石视反射率进行研究与探讨。     

基于Pixel Factory的ADS80影像快速处理方法

Pixel Factory系统是目前国内外最高端的影像快速处理系统,ADS80数码相机是目前主流的航空摄影测量系统,两套系统在各自的领域均具有其它系统无可比拟的优势。本文基于Pixel Factory影像快速处理系统,提供ADS80影像的处理方法,并用实际的生产数据进行试验。试验结果表明:利用Pixel Factory影像快速处理系统处理ADS80数码影像,可以大大减少外业控制,自动、快速、高效地获取高精度数字正射影像。     

Where can pixel counting area estimates meet user-defined accuracy requirements?

Pixel counting is probably the most popular way to estimate class areas from satellite-derived maps. It involves determining the number of pixels allocated to a specific thematic class and multiplying it by the pixel area. In the presence of asymmetric classification errors, the pixel counting estimator is biased. The overarching objective of this article is to define the applicability conditions of pixel counting so that the estimates are below a user-defined accuracy target. By reasoning in terms of landscape fragmentation and spatial resolution, the proposed framework decouples the resolution bias and the classifier bias from the overall classification bias. The consequence is that prior to any classification, part of the tolerated bias is already committed due to the choice of the spatial resolution of the imagery. How much classification bias is affordable depends on the joint interaction of spatial resolution and fragmentation. The method was implemented over South Africa for cropland mapping, demonstrating its operational applicability. Particular attention was paid to modeling a realistic sensor's spatial response by explicitly accounting for the effect of its point spread function. The diagnostic capabilities offered by this framework have multiple potential domains of application such as guiding users in their choice of imagery and providing guidelines for space agencies to elaborate the design specifications of future instruments.     

利用NOAA－AVHRR资料提取水体信息的初步研究

本文讨论了应用NOAA-AVHRR资料来提取水体信息的方法。采用AVHRR一、二通道(下面简写为CH1、CH2)获得的地面反射率数据构成的归一化植被指数(NDVI)来识别水体,并初步提出了应用模糊数学的方法提取混合像元中的水体面积信息的技术思路。