地理信息系统:05 空间关系与扩展数据模型.ppt
2022-06-26 20:04:13 4.72MB 地理信息系统
架构师大会-可扩展数据库架构
2022-06-08 19:06:15 4.29MB 数据库架构
在本文中,我们将看到如何通过数据扩充来实现相同的结果。
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直流电源 DCGAN网络用于协助图像生成和扩展数据集。
2022-03-24 17:33:03 4KB Python
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查看增加编辑扩展数据editlabel.lsp 用于很多将扩展数据写入CAD-3组提取编辑使用
2022-02-24 09:33:25 3KB 扩展数据
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APP与机智云通讯的工作中遇到不少麻烦,为了和我一样遭遇的初学者少走弯路,公开这个改造过的APP,并一些经验。 这个APP可以完成与机智云的双向通讯,机智云端的数据类型是"扩展数据"。开发环境:eclipse+android-19+安信可A9模组.
2021-12-27 22:33:53 29.84MB 机智云 APP 扩展数据 通讯
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该资源是已经经过前期代码处理的VOC扩展数据集,直接可用。其中包括10582张可用于训练的label,和1449张用于验证的label,一种12031张label.
2021-10-18 22:01:04 76B 数据集
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The mapped global annual urban dynamics (GAUD) and green recovery from 1985 to 2015 at a 30-m resolution. This part of data is organized by 10-degree grids (totally 224). Shapefiles of 10-degree grids can be found in "grids_world.zip". Urban expansion data is packaged in "urban_grid_i.zip" (i ranges from 0 to 223). Green recovery data is packaged in "green_grid_0-223.zip". Their format is GeoTiff, and for each pixel, values from 1985 to 2015 demonstrate the urbanized or green recovery year, while 0 means no data. (2) The interpreted samples of urban extent in 1985 and 2015, and urbanized year during 1985 and 2015. This part of data is for examining the accuracies of our data fusion and temporal segmentation approach. Interpreted urban extent is packaged in "Ref_tif_clip_1985.rar" and "Ref_tif_clip_2015.rar". Its format is GeoTiff, and for each pixel, value 1 means urban areas, while 0 means non-urban areas. Valid samples of urbanized year can be found in "validation_urbanized_year.xls". (3) A demo of NUACI calculation and urbanized years dectection can be found at link: https://code.earthengine.google.com/1c901129fa8c9d81b292824e8fb4ff1c
The mapped global annual urban dynamics (GAUD) and green recovery from 1985 to 2015 at a 30-m resolution. This part of data is organized by 10-degree grids (totally 224). Shapefiles of 10-degree grids can be found in "grids_world.zip". Urban expansion data is packaged in "urban_grid_i.zip" (i ranges from 0 to 223). Green recovery data is packaged in "green_grid_0-223.zip". Their format is GeoTiff, and for each pixel, values from 1985 to 2015 demonstrate the urbanized or green recovery year, while 0 means no data. (2) The interpreted samples of urban extent in 1985 and 2015, and urbanized year during 1985 and 2015. This part of data is for examining the accuracies of our data fusion and temporal segmentation approach. Interpreted urban extent is packaged in "Ref_tif_clip_1985.rar" and "Ref_tif_clip_2015.rar". Its format is GeoTiff, and for each pixel, value 1 means urban areas, while 0 means non-urban areas. Valid samples of urbanized year can be found in "validation_urbanized_year.xls". (3) A demo of NUACI calculation and urbanized years dectection can be found at link: https://code.earthengine.google.com/1c901129fa8c9d81b292824e8fb4ff1c
The mapped global annual urban dynamics (GAUD) and green recovery from 1985 to 2015 at a 30-m resolution. This part of data is organized by 10-degree grids (totally 224). Shapefiles of 10-degree grids can be found in "grids_world.zip". Urban expansion data is packaged in "urban_grid_i.zip" (i ranges from 0 to 223). Green recovery data is packaged in "green_grid_0-223.zip". Their format is GeoTiff, and for each pixel, values from 1985 to 2015 demonstrate the urbanized or green recovery year, while 0 means no data. (2) The interpreted samples of urban extent in 1985 and 2015, and urbanized year during 1985 and 2015. This part of data is for examining the accuracies of our data fusion and temporal segmentation approach. Interpreted urban extent is packaged in "Ref_tif_clip_1985.rar" and "Ref_tif_clip_2015.rar". Its format is GeoTiff, and for each pixel, value 1 means urban areas, while 0 means non-urban areas. Valid samples of urbanized year can be found in "validation_urbanized_year.xls". (3) A demo of NUACI calculation and urbanized years dectection can be found at link: https://code.earthengine.google.com/1c901129fa8c9d81b292824e8fb4ff1c