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ssjha-iist's Projects

ieee_tip_uiu-net

Xin Wu, Danfeng Hong, Jocelyn Chanussot. UIU-Net: U-Net in U-Net for Infrared Small Object Detection, IEEE Trans. Image. Process., 2022, 32: 364-376.

Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang. Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing, IEEE TNNLS, 2021.

iistthesis

LaTeX Template for Thesis and Reports

isofit

Imaging Spectrometer Optimal FITting (ISOFIT) contains a set of routines and utilities for fitting surface, atmosphere and instrument models to imaging spectrometer data.

istutor_isofit

Imaging Spectroscopy Tutorial Materials

libradtran

libradtran conda package

machine-learning-specialization-andrew-ng

A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.

mathematical-python

Introduction to Mathematical Computing with Python and Jupyter

mathematics-for-ml

🧮 A collection of resources to learn mathematics for machine learning

matplotlib-tutorial

Matplotlib tutorial for beginner

matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

methane-detection-from-hyperspectral-imagery

Deep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery

mlsn

Code for paper：“Meta-Learning Based Hyperspectral Target Detection Using Siamese Network”，TGRS，2022.

msr-3dcnn

This is the code of the paper Multiple Spectral Resolution 3D Convolutional Neural Network for Hyperspectral Image Classification. And the paper has been accpeted by remote sensing.

nnde

nnde is a package of Python modules which implement a set of neural networks which solve ordinary and partial differential equations. This code is based on the previous package, nnode.

ogr-geopandas-tutorial

Material for distance learning course on "Geoprocessing using Python"

pdesbynns

This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

py-pde

Python package for solving partial differential equations using finite differences.

pydens

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

pyfem

A modular Finite Element Method solver implemented in Python

python-geospatial

A collection of Python packages for geospatial analysis with binder-ready notebook examples

pythonnumericaldemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

randomforest-classification

Classifying remote sensing data with random forest

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

satproc

Python library and CLI tools for processing geospatial imagery for ML

scienceplots

Matplotlib styles for scientific plotting

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

scipy-2018-sklearn

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

scipy-tutorial-2015

Geospatial data tutorial

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