CodeBus
www.codebus.net
Search
Sign in
Sign up
Hot Search :
Source
embeded
web
remote control
p2p
game
More...
Location :
Home
Search - 3D-DTM
Main Category
SourceCode
Documents
Books
WEB Code
Develop Tools
Other resource
Search - 3D-DTM - List
[
Graph Drawing
]
DEM_vc
DL : 1
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!
Update
: 2025-02-19
Size
: 2.37mb
Publisher
:
曹里
[
OpenGL program
]
3D-DTM
DL : 0
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.
Update
: 2025-02-19
Size
: 408kb
Publisher
:
ljl
[
3D Graphic
]
DTM
DL : 0
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++
Update
: 2025-02-19
Size
: 5.5mb
Publisher
:
ljl
[
Picture Viewer
]
Mulil
DL : 0
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
Update
: 2025-02-19
Size
: 2.43mb
Publisher
:
yangs
CodeBus
is one of the largest source code repositories on the Internet!
Contact us :
1999-2046
CodeBus
All Rights Reserved.