Change detection for remote sensing images

15 papers with code • 2 benchmarks • 2 datasets

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Most implemented papers

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.

DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images

lehaifeng/DASNet 7 Mar 2020

However, the available methods focus mainly on the difference information between multitemporal remote sensing images and lack robustness to pseudo-change information.

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

justchenhao/STANet Remote Sensing 2020

Remote sensing image change detection (CD) is done to identify desired significant changes between bitemporal images.

SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images

likyoo/Siam-NestedUNet 17 Feb 2021

Recent change detection methods always focus on the extraction of deep change semantic feature, but ignore the importance of shallow-layer information containing high-resolution and fine-grained features, this often leads to the uncertainty of the pixels at the edge of the changed target and the determination miss of small targets.

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.

End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++

daifeng2016/End-to-end-CD-for-VHR-satellite-image 10 Jun 2019

To address the above-mentioned issues, a novel end-to-end CD method is proposed based on an effective encoder-decoder architecture for semantic segmentation named UNet++, where change maps could be learned from scratch using available annotated datasets.

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.

Looking for change? Roll the Dice and demand Attention

feevos/ceecnet 4 Sep 2020

Further, we introduce a new encoder/decoder scheme, a network macro-topology, that is tailored for the task of change detection.