494 Open source projects that are alternatives of or similar to HSI-Traditional-to-Deep-Models

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

A machine learning exercise, using KNN to classify deforested areas

Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

Reference implementations of popular DL models missing from keras-applications & keras-contrib

[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

NSFW classify model implemented with tensorflow.

Python REST API to detect images with adult content

trends.earth - measure land change

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

.NET library to easily create Voice Command Control feature.

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

Food classification using deep learning

Tools for detecting deforestation and forest degradation

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

记录一些读过的论文，给出个人对论文的评分情况并简述论文insight

A Simple Deep Neural Network to classify images made with Keras

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

A PyTorch toolkit with 8 popular deep active learning query methods implemented.

Notebooks for Fastai Viusal Guide

a deep model that segments water on multispectral images

Awesome Spectral Indices in Python.

Final Project of the Udacity AI Programming with Python Nanodegree

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

Serving TensorFlow models with TensorFlow Serving 📙

Image classification of wildflowers using deep residual learning and convolutional neural nets

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

No description or website provided.

Keras implementation of InceptionV4 Paper

This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.

A simple image dataset EDA tool (CLI / Code)

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images

This project is to use deep learning to auto classify the scene images with limited amount of training images.

SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

Building a Neural Network that classifies faces using OpenCV and Tensorflow

This is an collection of blog posts turned into a course format

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

Introduction to deep learning with Tensorflow.

paper：Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Hyperspectral image Target Detection based on Sparse Representation

A U-Net for solar panel identification and segmentation

Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)

Intelligent APIs aim to make machine learning (ML) tasks easier for UWP developers to leverage in their applications without needing ML expertise or creating a new model.

An open-source semi-automated processing chain for urban OBIA classification.

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

Catalyst.Classification

A collection of 300+ examples for using Earth Engine and the geemap Python package