文件名称:kMean
- 所属分类：
- 其他小程序
- 资源属性：
- [Windows] [Visual C] [Basic/ASP] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 132kb
- 下载次数：
- 0次
- 提 供 者：
- Hoan*****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
Spatial registration of multidate or multisensor images is required for many applications in remote
sensing, such as change detection, the construction of image mosaics, DEM generation from stereo
pairs, and orthorectifi cation. Registration is the process which makes the pixels in two images pre-
cisely coincide to the same points on the ground. Although the images are then in
relative
registra-
tion, the
absolute
ground coordinates of the pixels may be unknown. Registration is easier to
achieve with imagery that has been previously corrected for sensor and orbit distortions. Once reg-
istered, the images can be combined, or
fused
, in a way that improves information extraction.
Examples of fusion include extraction of DEMs from stereo image pairs and compositing of images
with different spatial and spectral resolutions.-Spatial registration of multidate or multisensor images is required for many applications in remote
sensing, such as change detection, the construction of image mosaics, DEM generation from stereo
pairs, and orthorectifi cation. Registration is the process which makes the pixels in two images pre-
cisely coincide to the same points on the ground. Although the images are then in
relative
registra-
tion, the
absolute
ground coordinates of the pixels may be unknown. Registration is easier to
achieve with imagery that has been previously corrected for sensor and orbit distortions. Once reg-
istered, the images can be combined, or
fused
, in a way that improves information extraction.
Examples of fusion include extraction of DEMs from stereo image pairs and compositing of images
with different spatial and spectral resolutions.
sensing, such as change detection, the construction of image mosaics, DEM generation from stereo
pairs, and orthorectifi cation. Registration is the process which makes the pixels in two images pre-
cisely coincide to the same points on the ground. Although the images are then in
relative
registra-
tion, the
absolute
ground coordinates of the pixels may be unknown. Registration is easier to
achieve with imagery that has been previously corrected for sensor and orbit distortions. Once reg-
istered, the images can be combined, or
fused
, in a way that improves information extraction.
Examples of fusion include extraction of DEMs from stereo image pairs and compositing of images
with different spatial and spectral resolutions.-Spatial registration of multidate or multisensor images is required for many applications in remote
sensing, such as change detection, the construction of image mosaics, DEM generation from stereo
pairs, and orthorectifi cation. Registration is the process which makes the pixels in two images pre-
cisely coincide to the same points on the ground. Although the images are then in
relative
registra-
tion, the
absolute
ground coordinates of the pixels may be unknown. Registration is easier to
achieve with imagery that has been previously corrected for sensor and orbit distortions. Once reg-
istered, the images can be combined, or
fused
, in a way that improves information extraction.
Examples of fusion include extraction of DEMs from stereo image pairs and compositing of images
with different spatial and spectral resolutions.
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下载文件列表
kMean\DistMatrix.m
.....\K mean Clustering1.pdf
.....\kmean.frm
.....\KMean.vbp
.....\KMean.vbw
.....\kMeanClustering.bmp
.....\kMeansCluster.m
.....\MSSCCPRJ.SCC
kMean
.....\K mean Clustering1.pdf
.....\kmean.frm
.....\KMean.vbp
.....\KMean.vbw
.....\kMeanClustering.bmp
.....\kMeansCluster.m
.....\MSSCCPRJ.SCC
kMean