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

20 Mar 2020Jakaria08/Filter_Enhance_Detect

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 SATELLITE IMAGE SUPER-RESOLUTION SMALL OBJECT DETECTION SUPER-RESOLUTION

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

30 May 2017lehaifeng/RSI-CB

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

IMAGE CLASSIFICATION REMOTE SENSING IMAGE CLASSIFICATION

DISIR: Deep Image Segmentation with Interactive Refinement

31 Mar 2020delair-ai/DISIR

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 SEMANTIC SEGMENTATION

Lake Ice Detection from Sentinel-1 SAR with Deep Learning

17 Feb 2020czarmanu/sentinel_lakeice

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 SEMANTIC SEGMENTATION SENTINEL-1 SAR PROCESSING

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

22 Jun 2020stevinc/TheColorOutOfSpace

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 IMAGE CLASSIFICATION REMOTE SENSING IMAGE CLASSIFICATION SELF-SUPERVISED LEARNING

Lake Ice Monitoring with Webcams and Crowd-Sourced Images

18 Feb 2020czarmanu/deeplab-lakeice-webcams

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 LAKE ICE MONITORING SEMANTIC SEGMENTATION WEBCAM (RGB) IMAGE CLASSIFICATION

Photi-LakeIce Dataset

ISPRS Congress 2020 czarmanu/photi-lakeice-dataset

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 LAKE ICE MONITORING SEMANTIC SEGMENTATION WEBCAM (RGB) IMAGE CLASSIFICATION