文件列表:

Dockerfile (1111, 2018-08-22)
bf_Sar2Shoreline.py (5636, 2018-08-22)
bf_Sar2Shoreline.py~ (5224, 2018-08-22)
bf_algo_sar.py (2008, 2018-08-22)
bf_algo_sar.py~ (1442, 2018-08-22)
docker-compose.yml (983, 2018-08-22)
launch.sh (160, 2018-08-22)
launch.sh~ (88, 2018-08-22)
manifest.jenkins.yml (167, 2018-08-22)
manifest.jenkins.yml~ (163, 2018-08-22)
requirements.txt (103, 2018-08-22)
requirements.txt~ (91, 2018-08-22)
test_bf-algo-sar.py (1436, 2018-08-22)
test_bf-algo-sar.py~ (1050, 2018-08-22)
testdata (0, 2018-08-22)
testdata\binary_groundtruth.tif (42223, 2018-08-22)
testdata\groundtruth.geojson (1479, 2018-08-22)
testdata\resample_groundtruth.tif (79749, 2018-08-22)
testdata\tile41.tif (7960518, 2018-08-22)
testdata\tile41_results.geojson (1479, 2018-08-22)

# bf-alg-sar The bf-alg-sar project is an implementation of the SAR (Synthetic Aperture Radar) shoreline detection algorithm written by the Beachfront team, with simple texture and size-based processing for SAR (Synthetic Aperture Radar) waterline extraction. It has been designed and tested using European Space Agency's Sentinel-1 SAR GRD products. For best results, it is recommended to use mixed-polarization VH (vertical transmit and horizontal receive) data. This is a simple algorithm looking for spatially large, homogeneous, low-amplitude returns. If using input data with a higher resolution, it may be necessary to modify the scale factor and kernel size. ## Usage: To run bf-alg-sar, use the following command-line template: $ bf-algo-sar -i in_raster -o out_raster -k kernel_Size (optional, default=10) -s ScaleFactor (optional, default=0.1)

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：