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Search results for tensorflow remote sensing
remote-sensing
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tensorflow
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28 search results found
Techniques
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7,678
Techniques for deep learning with satellite & aerial imagery
R2cnn_faster Rcnn_tensorflow
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475
Rotational region detection based on Faster-RCNN.
Urban_seg
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374
simple remotes sensing semantic segmentation
Change Detection Review
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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.
Eye In The Sky
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248
Satellite Image Classification using semantic segmentation methods in deep learning
Remote Sensing Deep Learning
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222
R2cnn Plus Plus_tensorflow
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220
This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.
Geospatial Machine Learning
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196
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Otbtf
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152
Deep learning with otb (mirror of https://gitlab.irstea.fr/remi.cresson/otbtf)
Manjaro Linux
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91
Shell scripts for setting up Manjaro Linux for Python programming and deep learning
Siamcrnn
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88
[IEEE TGRS 2020] Official Tensorflow implementation for Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
Hyperspectral_image_analysis_simplified
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77
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Dsmscn
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74
[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.
Label Pixels
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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.
Dincae
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41
DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
Keras Remote Sensing Image Retrieval
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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.
Ap Latam
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23
Detection of slums and informal settlements from satellite imagery
Ssun
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22
Spectral-Spatial Unified Networks for Hyperspectral Image Classification
Dcl_retinanet_tensorflow
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20
Code for CVPR 2021 paper: Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
Ssfcn
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18
Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification
Orthoseg
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18
OrthoSeg makes it easy to train neural networks to segment orthophotos.
Mhcln
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15
Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
Adois
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10
Automatic detection of impervious surfaces
Cnn Based Hyperspectral Image Classification
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8
A TensorFlow implentation of fixed size kernel CNN
Missing Pixel Filler
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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.
Remote Sensing Image Generation
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6
Generate RS Images using Generative Adversarial Networks (GAN)
Dynamic Rs Segmentation
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6
Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks
Senegal Lcluc Tensorflow
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5
Senegal LCLUC TensorFlow
Resunet A
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5
Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.
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1-28 of 28 search results
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