Remote Sensing Image Classification

27 papers with code • 1 benchmarks • 6 datasets

This task has no description! Would you like to contribute one?

Most implemented papers

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

Jakaria08/Filter_Enhance_Detect 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.

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.

Multimodal Fusion Transformer for Remote Sensing Image Classification

ankurderia/mft 31 Mar 2022

Vision transformers (ViTs) have been trending in image classification tasks due to their promising performance when compared to convolutional neural networks (CNNs).

Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification

biasvariancelabs/aitlas-arena 14 Jul 2022

We present AiTLAS: Benchmark Arena -- an open-source benchmark suite for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO).

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.

LAKE ICE MONITORING WITH WEBCAMS

czarmanu/tiramisu_keras ISPRS annals of the photogrammetry, remote sensing and spatial information sciences 2018

Continuous monitoring of climate indicators is important for understanding the dynamics and trends of the climate system.

Wide Contextual Residual Network with Active Learning for Remote Sensing Image Classification

codeRimoe/DL_for_RSIs IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 2018

As it is very difficult and expensive to obtain class labels in real world, we integrate the proposed WCRN with AL to improve its generalization by using the most informative training samples.

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.

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.

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.