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136 search results found

Retrieval 2016 Remote ⭐ 13

Multi-Label Remote Sensing Image Retrieval By Using Deep Features

SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy - Notebook implementation usable on Google Colaboratory

[IEEE TIP 2022] Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations

Resunet A_mltsk_keras ⭐ 12

This is a reimplementation of ResUnet-a d6 with simple multitasking in keras/tensorflow 2.0

Deeppvmapper ⭐ 11

Automated pipeline for large scale detection of solar arrays in France

codes for TGRS paper: Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast

Making Deep Learning for Earth Observation more easy

Models for Remote Sensing

Automatic detection of impervious surfaces

Hrplanesv2 Data Set ⭐ 10

This repo contains the details of the HRPlanesv2, a high-resolution satellite imagery dataset for aircraft detection, as well as the benchmark results of experiments using YOLOv4, YOLOv5, and YOLOv8, along with the associated weight files.

Split_raster ⭐ 10

Split Raster is an open-source and highly versatile Python package designed to easily break down large images into smaller, more manageable tiles. While the package is particularly useful for deep learning and computer vision tasks, it can be applied to a wide range of applications.

Deep Learning Datasets Maker ⭐ 9

Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data.

Changedetectionbaseline ⭐ 9

Baseline approach to Change Detection using deep learning and Siamese CNNs

Permutation invariance and uncertainty in multitemporal image super-resolution

Changedetectionproject ⭐ 8

Change Detection project - the more experimental build version. Trying out Active Learning in with deep CNNs for Change detection on remote sensing data.

Cross-Sensor Masked Autoencoder for Content Based Image Retrieval in Remote Sensing

Implementation of CNN-Enhanced Graph Attention Network for Hyperspectral Image Super-Resolution Using Non-Local Self-Similarity (CEGATSR) in Pytorch.

Remote Sensing ⭐ 8

And this Repository made the Journey of FEZtool.com

Rs Datasetshub ⭐ 7

A hub hosting essential remote sensing datasets.

Exploiting ConvNet Diversity for Flooding Identification -- Flood Detection in Satellite Images [FDSI] -- [2017 Multimedia Satellite Task]

Spacenet7 Buildings Detection ⭐ 7

Building detection from the SpaceNet dataset using UNet.

Missing Pixel Filler ⭐ 7

missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.

Land Use Land Cover Datasets ⭐ 7

List of datasets and codes for remote sensing LULC applications.

LR-TSDet: Towards Tiny Ship Detection in Low-Resolution Remote Sensing Images (Remote Sens. 2021)

[IEEE TNNLS 2022] Robust Self-Ensembling Network for Hyperspectral Image Classification

Obbstacking ⭐ 7

Repo for the OBBStacking: An Ensemble Method for Remote Sensing Object Detection

Object_detection_satellite_imagery_yolov8_dior ⭐ 6

Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.

Backdoor Attacks for Remote Sensing Data with Wavelet Transform

Dataselectionmaps ⭐ 6

Enhanced spatio-temporal electric load forecasts with less data using active deep learning

Dynamic Rs Segmentation ⭐ 6

Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks

Geo Deeplearning ⭐ 6

A list of papers, resources, datasets and code on Deep Learnig applications in Satellite imagery

ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very High Resolution Remote Sensing Images

Wildfire_research_resources ⭐ 6

A repository to be used as a resource in the wildfire area like the detection, forecasting, and segmentation of wildfires 🔥, after the heart-breaking wildfires in Turkey ❤️

A deep learning-based method to infer leaf angle variation from photographs.

PyTorch implementation of "An Elliptical Distribution aided Adaptive Label Assignment for Oriented Object Detection in Remote Sensing Images"

Atrain Cloudseg ⭐ 5

Official GitHub repository for the A-Train Cloud Segmentation Dataset.

Cloud_snow_segmentation ⭐ 5

Research work for cloud and snow segmentation problem using meteorological satellite Electro-L №2 multispectral data, also suitable for GOES-16,17 multispectral data. This project includes all needed functions and utils for preprocessing multispectral data to make your own dataset for cloud and (or) snow segmentation problem

Resunet A ⭐ 5

Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.

Remote sensing elevation (3D) change detection with deep learning

Rastrainer ⭐ 5

rastrainer is a QGIS plugin to training remote sensing semantic segmentation model based on PaddlePaddle.

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