搜索资源列表
An-Optimisation-Model-for-Airport-Taxi
- 一个关于机场的目标算法，针对机场的卫星图像检测进行阐述。-About the goal of an algorithm for the airport for the airport satellite images Detect elaborate.
PDE
- 偏微分方程图像复原代码，其中有频域迭代盲解卷积H1模型，TV去噪模型，自己编的自适应去噪模型，以及改进的自适应去噪模型，令附卫星图片，PSNR代码-Image restoration code of partial differential equations, including iterative frequency-domain blind deconvolution H1 model, TV denoising model, made themselves adaptive denois
RPC_errAnaly
- 利用严格成像模型生成的虚拟格网数据解算卫星影像的RPC参数，用于卫星影像定位-Use strict generated virtual imaging model grid data calculating satellite images RPC parameters for satellite image positioning
OpenGL
- 基于OpenGL_地球和它的卫星模型,地球和卫星模型调用函数实现的。-OpenGL_ based model of the Earth and its satellite, terrestrial and satellite model function is called to achieve.
Analog-satellite-rotation-and-Earth
- 模拟卫星旋转和地球自转，用openGL库在VC6.0下绘制地球模型，卫星模型，并实现卫星绕地球旋转和地球自转。-Analog satellite rotation and Earth' s rotation, with the openGL library is drawn in VC6.0 Earth model, the satellite model, and to achieve satellites orbiting the Earth rotation and Earth
research-of-filtering-fog
- 根据卫星图像中雾的特点及其对图像的影响，分析提出一种去雾的方法，该方法客服现有去雾模型的局限。-According to satellite images of fog characteristics and the impact of the image analysis method is proposed to fog, mist the way customer service model to the existing limitations.
3466
- 提出了一种基于人类视觉系统和模糊隶属度函数的小波卫星图像融合新算法,利用小波域的人类视觉系 统经验模型,刻画图像的边缘、纹理及高亮区域, 采用模糊隶属度函数自适应地计算权系数, 在小波域上通过加权 平均实现了图像融合。-Proposed a new algorithm based on human visual system and the fuzzy membership function of the wavelet satellite image fusion using wave
Shenzhou
- 神州卫星3维模型 3DMAX FLT等格式-shenzhou satellite three-dimensional model 3DMAX FLT other formats
Ikonos
- 采用VC++6.0编程实现，提供对美国IKONOS商业卫星图像的平差处理。提供了对RMF有理函数模型的空间前方交会、目标定位和平差处理-Using VC++6.0 programming, providing for U.S. commercial satellite IKONOS image adjustment processing. RMF provides a rational function model space forward intersection, poor targeti
Mulil
- 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
ChanVese-master
- Chan-Vese模型C++语言的实现，对于医学图像、卫星图像有较好的分割效果(Chan-Vese model C ++ language implementation, for medical images, satellite images have better segmentation results)