Design of high-spatial resolution remote sensing data processing system and its implementation

被引：0

作者：

Zhao, SH ^{[1
]}

Wang, ZY ^{[1
]}

Song, CY ^{[1
]}

Wu, ZZ ^{[1
]}

Chen, XW ^{[1
]}

机构：

[1] Peking Univ, Inst Remote Sensing & GIS, Beijing 100871, Peoples R China

来源：

IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings | 2005年

关键词：

high-spatial resolution remote sensing data; image processing system; IKONOS data; segmentation algorithm;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

High-spatial resolution remote sensing data were received much more in recent years. It includes IKONOS data, SPOT-5 PAN data, Quickbird data, etc. They have been used in urban remote sensing, urban planning, precision agriculture, etc. However, there is not an applicable software system for processing high-spatial resolution remote sensing data. The paper introduced a design frame for high-spatial resolution data processing system. Some key methods for processing high spatial-resolution data had been studied. Implementation of methods and system were carried out using Visual C++.

引用

页码：623 / 626

页数：4

共 3 条

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[3]

Van der Sande C., 2003, INT J APPL EARTH OBS, P217, DOI [10.1016/S0303-2434(03)00003-5, DOI 10.1016/S0303-2434(03)00003-5]

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