Remote Sensing Image Classification

11 papers with code • 0 benchmarks • 3 datasets

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Greatest papers with code

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

Jakaria08/EESRGAN 20 Mar 2020

Inspired by the success of edge enhanced GAN (EEGAN) and ESRGAN, we apply a new edge-enhanced super-resolution GAN (EESRGAN) to improve the image quality of remote sensing images and use different detector networks in an end-to-end manner where detector loss is backpropagated into the EESRGAN to improve the detection performance.

Image Enhancement Remote Sensing Image Classification +3

Remote Sensing Image Classification with the SEN12MS Dataset

schmitt-muc/SEN12MS 1 Apr 2021

Using that, we provide results for several baseline models based on two standard CNN architectures and different input data configurations.

General Classification Image Classification +2

RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data

lehaifeng/RSI-CB 30 May 2017

In this paper, we propose a remote sensing image classification benchmark (RSI-CB) based on massive, scalable, and diverse crowdsource data.

General Classification Image Classification +1

DISIR: Deep Image Segmentation with Interactive Refinement

delair-ai/DISIR 31 Mar 2020

Starting from an initial output based on the image only, our network then interactively refines this segmentation map using a concatenation of the image and user annotations.

Interactive Segmentation Remote Sensing Image Classification +1

Lake Ice Detection from Sentinel-1 SAR with Deep Learning

czarmanu/sentinel_lakeice 17 Feb 2020

Lake ice, as part of the Essential Climate Variable (ECV) lakes, is an important indicator to monitor climate change and global warming.

Change detection for remote sensing images Lake Ice Monitoring +2

Lake Ice Monitoring with Webcams and Crowd-Sourced Images

czarmanu/deeplab-lakeice-webcams 18 Feb 2020

On average, it achieves intersection-over-union (IoU) values of ~71% across different cameras and ~69% across different winters, greatly outperforming prior work.

Change detection for remote sensing images Lake Detection +3

The color out of space: learning self-supervised representations for Earth Observation imagery

stevinc/TheColorOutOfSpace 22 Jun 2020

We conduct experiments on land cover classification (BigEarthNet) and West Nile Virus detection, showing that colorization is a solid pretext task for training a feature extractor.

Colorization Disease Prediction +3

Photi-LakeIce Dataset

czarmanu/photi-lakeice-dataset ISPRS Congress 2020

On average, it achieves intersection-over-union (IoU) values of ~71% across different cameras and ~69% across different winters, greatly outperforming prior work.

Change detection for remote sensing images Lake Detection +3

A Novel Uncertainty-aware Collaborative Learning Method for Remote Sensing Image Classification Under Multi-Label Noise

rsim/CCML 12 May 2021

This paper proposes an architect-independent Consensual Collaborative Multi-Label Learning (CCML) method to train deep classifiers under input-dependent (heteroscedastic) multi-label noise in the MLC problems.

Image Classification Multi-Label Classification +2