Hyperspectral remote sensing image classification based on deep learning
A module to process LandSat8 Remote Sense Images. Features: NDBI NDVI NDWI calculation; LandSat8 BandMerge(GIS info reserved); Building Area Extraction; Water Area Extraction;
Kalman filtering and optimal estimation library in Python. Kalman filter, Extended Kalman filter, Unscented Kalman filter, g-h, least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
Remote Sensing Lower Mekong & Mumbai using Google Earth Engine
A Python package that implements various regression algorithms, including Partial Least Squares and Principal Components Regression
A keras based implementation of Hybrid-Spectral-Net as in our paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
Hyperspectral imaging remote sensing recognition using TensorFlow
Land use classification or Landform delineation on remote sensing images. Specifically, this repo is to delineate landforms due to the thawing of ice-rich permafrost using Deep Learning.
Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08
Python module for remote sensing and GIS domain (image/signal, vector, miscellaneous processing)
支持多种影像格式的遥感影像读取程序 | python3.6
