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gst105foss4glabs

GST 105 - Introduction to Remote Sensing - FOSS4G Labs

gtf

Infrared and visible image fusion via gradient transfer and total variation minimization

harp

Data harmonization toolset for scientific earth observation data

hcn-prototypeloss-pytorch

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

hed

code for Holistically-Nested Edge Detection

hed-1

hed-master

hed-pytorch

Holistically-Nested Edge Detection

hed-rcf-cuda

Pre-configured CUDA 9.0 version for HED (Holistically-Nested Edge Detection) and RCF (Richer Convolutional Features for Edge Detection) projects

heterogeneous_cd

This repository contains the software developed for the project of Heterogeneous Change Detection in Remote Sensing Images.

hexaconv

hf-fcn-for-robust-building-extraction

Hierarchically Fused Fully Convolutional Network for Robust Building Extraction ACCV 2016

hgru_share

hlzhu_danet_git

modified version based on DANet

honours_project

Deep neural networks for classification of multispectral images.

howtotrainyourmamlpytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

htp

Tools for High-Throughput Phenotyping

hybridcnn-based-hyperspectral-image-classification-using-multiscale-spatiospectral-features

Python Implementation for HybridCNN

hyperspectral-image-learning

Land resource detection in a HSI using deep learning techniques

hyperspectral-image-target-detection-based-on-sparse-representation

Hyperspectral image Target Detection based on Sparse Representation

iaug_cdnet

Official Pytorch Implementation of Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images.

icassp19

Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"

icnet

Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration

icnet-1

Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration

identifying-mislabelled-instances

Partial implementation of the algorithm proposed by F. Muhlenbach et al to identify and remove mislabelled instances of noisy datasets (label noise)

idldoc

Documenting IDL code

ieee_tgrs_j-slol

Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot. Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning, IEEE TGRS, 2020.

ieee_tgrs_mdl-rs

Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2020.

iic

TensorFlow Implementation of https://arxiv.org/abs/1807.06653

iic-1

Invariant Information Clustering for Unsupervised Image Classification and Segmentation