name_ji

@name-ji

name_ji 暂无简介

所有 个人的 我参与的
Forks 暂停/关闭的

    name_ji/SAR-change-detection forked from Jiangyu1181/SAR-change-detection

    Change detection in polarimetric SAR images in Python

    name_ji/SAR.AI forked from 陈磊/SAR.AI

    :satellite: Multi-Level Pattern Histogram for Synthetic-Aperture Radar (SAR) image classification into terrain classes.

    name_ji/ImageRegistration

    A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.

    name_ji/image_registration

    Image Registration for Astronomy

    name_ji/python-programming-for-geospatial-data-processing-analysis-and-visualization

    python programming for geospatial data processing, analysis and visualization

    name_ji/book_python_gis

    Source codes in Python for book 'Python in Open Source GIS'.

    name_ji/simplekml

    Automatically exported from code.google.com/p/simplekml

    name_ji/pykml

    Mirror/Fork of http://code.google.com/p/pykml

    name_ji/PySAR-2

    InSAR (Interferometric Synthetic Aperture Radar) timeseries analysis in python

    name_ji/PySAR

    name_ji/Plot-Boundary-Extraction-CSV-KML

    In this approach, first I create a KML file from the field map (.CSV) using Python, generate polygon shapefiles with known size for each plot from KML file, and assign plot ID to each plot using the field map. To define the geographic extent of the field, the python script asks for the coordinate of two points in the field: the start point of the first plot and the end point of the last plot. Then it starts from building the first polygon using the defined plot size, and skips the gap between plots and generates the next one until it gets to the last plot. In this approach the plot IDs are assigned automatically and simultaneously from the field map excel sheet.

    name_ji/CSV-to-KML

    This python script will take a csv file with name, lat, lon, and description columns and create a simple kml file.

    name_ji/InSARFlow

    Parallel InSAR processing for Time-series analysis

    name_ji/stack_offset_tracking

    name_ji/yolov4-deepsort

    Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

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