SAR_Change_Detection_CWNN

Sea ice detector

An implementation of a sea ice change detection system using a neural network architecture.

Matlab code for "Sea ice change detection in SAR images based on convolutional-wavelet neural networks," IEEE GRSL 2019

GitHub

53 stars
2 watching
13 forks
Language: MATLAB
last commit: almost 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
summitgao/sar_cd_ddnet An implementation of a change detection algorithm using synthetic aperture radar images 58
janne-alatalo/sar-change-detection A deep learning-based approach to change detection in Synthetic Aperture Radar imagery. 22
rulixiang/changedetectionpcakmeans This MATLAB implementation detects changes in various types of land cover in satellite images using PCA and k-Means clustering 76
hsg-aiml/industrialsmokeplumedetection Detects industrial smoke plumes from satellite images using machine learning models and remote sensing data. 40
wrightni/ossp An algorithm suite for detecting and analyzing features on sea ice surfaces from high-resolution optical imagery 20
shaoqingren/spp_net This project implements an object detection algorithm using spatial pyramid pooling in deep convolutional networks. 364
vmarsocci/3dcd Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. 28
yanhengwang-heu/ieee_tgrs_sstformer A toolbox implementing deep learning-based change detection for hyperspectral images using spectral, spatial, and temporal transformations. 27
jingzhang617/cod-rank-localize-and-segment Develops a system to detect, segment, and rank camouflaged objects in images. 74
chanyn/hkrm Develops a deep learning model for large-scale object detection that leverages hybrid knowledge and routing mechanisms. 104
xiaolonw/adversarial-frcnn A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. 482
naoto0804/cross-domain-detection Develops object detection algorithms to adapt to new domains with limited supervision 422
minzhang-whu/change-detection-review A comprehensive review of change detection methods using artificial intelligence and various machine learning frameworks. 837
lz118/deep-correlation-network Develops a deep neural network model for detecting salient objects in RGBT images using correlation information from other colors. 13
shengcao-cao/hassod Develops a neural network architecture for object detection and instance segmentation without labeled data 51