3D Imaging, Analysis and Applications

3D Imaging, Analysis and Applications
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DOI:
10.1007/978-1-4471-4063-4
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发表时间:
2012
期刊:
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影响因子:
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通讯作者:
Nick E. Pears;Yonghuai Liu;P. Bunting
Nick E. Pears;Yonghuai Liu;P. Bunting
中科院分区:
其他
文献类型:
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作者:
Nick E. Pears;Yonghuai Liu;P. Bunting

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本章介绍用于根据遥感数据生成 3D 数字高程模型 (DEM) 的技术。探索和讨论了三种方法:光学立体成像、干涉合成孔径雷达 (InSAR) 和光探测和测距 (LIDAR)。对于每种方法,都会回顾文献中提出的最新技术。介绍了 DEM 生成所涉及的技术以及精度评估。图示了根据遥感数据重建的 DEM 的结果。虽然从卫星立体图像生成 DEM 的过程代表了被动多视图成像技术的一个很好的例子,这将在第 1 章中讨论。  本书第2节中,InSAR和LIDAR使用不同的原理来获取3D信息。针对 InSAR 和 LIDAR,进行了详细讨论,以传达这两种技术的基础知识。
This chapter presents techniques used for the generation of 3D digital elevation models (DEMs) from remotely sensed data. Three methods are explored and discussed—optical stereoscopic imagery, Interferometric Synthetic Aperture Radar (InSAR), and LIght Detection and Ranging (LIDAR). For each approach, the state-of-the-art presented in the literature is reviewed. Techniques involved in DEM generation are presented with accuracy evaluation. Results of DEMs reconstructed from remotely sensed data are illustrated. While the processes of DEM generation from satellite stereoscopic imagery represents a good example of passive, multi-view imaging technology, discussed in Chap.  2 of this book, InSAR and LIDAR use different principles to acquire 3D information. With regard to InSAR and LIDAR, detailed discussions are conducted in order to convey the fundamentals of both technologies.