以下内容为EISeg中遥感垂类相关的文档，主要包括环境配置和功能介绍两大方面。
This part presents documents related to remote sensing in EISeg, including its environment configuration and functions.
EISeg supports remote sensing data with GDAL and OGR. The former is a translator library for raster spatial data formats under the X/MIT style Open Source License, while the latter has similar functions but mainly supports vector data.
GDAL can be installed as follows:
Windows users can download the corresponding binaries (*.whl) of Python and system versions here. Here we take GDAL-3.3.3 -cp39-cp39-win_amd64.whl as an example, go to the download directory:
cd download
Install the dependencies:
pip install GDAL‑3.3.3‑cp39‑cp39‑win_amd64.whl
Mac users are recommended to install with conda:
conda install gdal
At present, functions of remote sensing in EISeg are relatively simple including GTiff class data loading, large remote sensing image slicing and merging, and geographic raster/vector data (GTiff/ESRI Shapefile) export. What's more, an interactive model of building segmentation is trained based on more than 400,000 data from various building datasets.
For the moment, EISeg can only read remote sensing images with *.tif/tiff suffix. Since the training data are all remote sensing image slices of RGB three-channel, the interactive segmentation shares the same basis, which means EISeg supports band selection of multi-band data.
When adopting EISeg to open the GTiff image, the current number of bands is obtained, which can be set by the drop-down list of band settings. The default is [b1, b1, b1]. The following example shows the true color setting of Tiangong-1 multispectral data.
EISeg supports the post-prediction merging of sliced large remote sensing images (the latest attempt is 900M three-channel images with a size of 17000*10000), in which the overlap (overlapping area) of slices is 24.
The following demonstrates the slicing of some districts in Chongqing from Google Earth:
When the GTiff images to be labeled are accompanied by georeferencing, you can set EISeg to save them as GTiff with georeferencing or ESRI Shapefile.
- GTiff: A standard image file for industries of GIS and satellite remote sensing.
- ESRI Shapefile: The most common vector data format.The Shapefile file is a GIS file format developed by the U.S. Environmental Systems Research Institute (ESRI) and is the industry-standard vector data file. It is supported by all commercial and open source GIS software and now represents the industry standard.
static_hrnet18_ocr48_rsbuilding_instance are recommended for building labeling.