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The Top 21 Python Tensorflow Remote Sensing Open Source Projects

Open source projects categorized as Python Tensorflow Remote Sensing
Categories > Machine Learning > Remote Sensing
Categories > Machine Learning > Tensorflow
Techniques ⭐ 7,795
Techniques for deep learning with satellite & aerial imagery
most recent commit 3 days ago
R2cnn_faster Rcnn_tensorflow ⭐ 475
Rotational region detection based on Faster-RCNN.
most recent commit 4 years ago
Urban_seg ⭐ 374
simple remotes sensing semantic segmentation
most recent commit 5 months ago
Change Detection Review ⭐ 352
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
most recent commit 3 years ago
Eye In The Sky ⭐ 248
Satellite Image Classification using semantic segmentation methods in deep learning
most recent commit 2 years ago
R2cnn Plus Plus_tensorflow ⭐ 220
This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.
most recent commit 3 years ago
Manjaro Linux ⭐ 91
Shell scripts for setting up Manjaro Linux for Python programming and deep learning
most recent commit 4 months ago
Siamcrnn ⭐ 88
[IEEE TGRS 2020] Official Tensorflow implementation for Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
most recent commit 4 months ago
Hyperspectral_image_analysis_simplified ⭐ 77
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
most recent commit 3 years ago
Label Pixels ⭐ 42
Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.
most recent commit a year ago
Dincae ⭐ 41
DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
most recent commit 19 days ago
Keras Remote Sensing Image Retrieval ⭐ 26
this is an implement of DenseNet using keras ,this project can do Remote sensing image classifiy or retrieval.I trained and evaluated this model on a dataset called PatternNet.
most recent commit 6 years ago
Ssun ⭐ 22
Spectral-Spatial Unified Networks for Hyperspectral Image Classification
most recent commit 4 years ago
Dcl_retinanet_tensorflow ⭐ 20
Code for CVPR 2021 paper: Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
most recent commit 3 years ago
Ssfcn ⭐ 18
Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification
most recent commit 4 years ago
Orthoseg ⭐ 18
OrthoSeg makes it easy to train neural networks to segment orthophotos.
total releases 50most recent commit 4 months ago
Mhcln ⭐ 15
Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
most recent commit 4 years ago
Adois ⭐ 10
Automatic detection of impervious surfaces
most recent commit 6 months ago
Cnn Based Hyperspectral Image Classification ⭐ 8
A TensorFlow implentation of fixed size kernel CNN
most recent commit 5 years ago
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.
most recent commit 3 years ago
Dynamic Rs Segmentation ⭐ 6
Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks
most recent commit 5 years ago
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