This project focuses on using the logistic regresion based image pixel classification model and image reinforcement methods to segment and augment images and then detected the positions of the bins in different images. As bins may appear in different places, it is necessary to design a classification algorithm that can segment the bin from a complex scenario. My method achieved a reliable outcome on detecting the location of bins in different scenarios. The techinical approach and methmetical formulation are all […]

lidar lidar is Python package for delineating the nested hierarchy of surface depressions in digital elevation models (DEMs). It is particularly useful for analyzing high-resolution topographic data, such as DEMs derived from Light Detection and Ranging (LiDAR) data. GitHub repo: https://github.com/giswqs/lidarDocumentation: https://lidar.gishub.orgPyPI: https://pypi.org/project/lidarConda-forge: https://anaconda.org/conda-forge/lidarOpen in Colab: https://gishub.org/lidar-colabFree software: MIT license lidar is a Python package for delineating the nested hierarchy of surface depressions in digital elevation models (DEMs). In traditional hydrological modeling, surface depressions in a DEM are commonly treated […]

GIPPY Gippy is a Python library for image processing of geospatial raster data. The core of the library is implemented as a C++ library, libgip, with Python bindings automatically generated with swig. Gippy encapsulates the functionality of GDAL and CImg that automatically handles issues common to geospatial data, such as handling of nodata values and chunking up of very large images by saving chains of functions and only processing the image in pieces upon a read request. In addition to […]