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Description: 根据导入得dem（固定路径），生成等值线图（2维），是地形图绘制，DTM三维可视化较好的例子，但要转三维还要继续努力！-According to import must dem (a fixed path), generate the contours (2-D) is the topographic mapping, DTM three-dimensional visualization of a better example, but to change to 3D must continue our efforts!
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Size: 2484224 |
Author: 曹里 |
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Description: 3D地形模拟与漫游。DTM。可以设置投影方式、天空效果、地形显示方式、场景雾化。有C++源代码，结合openGL。-3D terrain simulation and roaming. DTM. Can set the projection, the sky effects, terrain display, the scene atomization. A C++ source code, combined with openGL.
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Size: 417792 |
Author: ljl |
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Description: 环境编程，用于环境编写，三维地形可视化等3D导入，仿真模拟-environment in C++
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Size: 5770240 |
Author: ljl |
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Description: Multispectral remotely sensing imagery with high
spatial resolution, such as QuickBird, IKONOS satellite
imagery or Aerial imagery, especially in urban scenes, often
perform spectral variations and rich details within a category,
resulting in a poor accuracy of classification. To seek an efficient
solution, this paper presents a non-parametric and variational
multiple level set model by a joint use of Aerial image and two
products, digital terrain model (DTM) and digital surface model
(DSM), directly or indirectly derived raw LiDAR (Light
Detection And Ranging) 3D point cloud data. Proposed model is
to minimize an energy function. The energy includes two terms.
First term is mainly image-based energy which introduces Parzen
Window density estimation technique in the multiple level set
framework. To make up the disadvantages-Multispectral remotely sensing imagery with high
spatial resolution, such as QuickBird, IKONOS satellite
imagery or Aerial imagery, especially in urban scenes, often
perform spectral variations and rich details within a category,
resulting in a poor accuracy of classification. To seek an efficient
solution, this paper presents a non-parametric and variational
multiple level set model by a joint use of Aerial image and two
products, digital terrain model (DTM) and digital surface model
(DSM), directly or indirectly derived raw LiDAR (Light
Detection And Ranging) 3D point cloud data. Proposed model is
to minimize an energy function. The energy includes two terms.
First term is mainly image-based energy which introduces Parzen
Window density estimation technique in the multiple level set
framework. To make up the disadvantages
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Size: 2544640 |
Author: yangs |
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