Stars
Solve Visual Understanding with Reinforced VLMs
合成孔径雷达 相关。研究生期间学习 SAR/InSAR/PolSAR 相关的代码和总结，毕业后已经离开这个领域了。分享出来，仅此纪念。1）SAR: 成像算法，RD，CS，Radarsat-1数据成像处理。2）InSAR: 人造场景原始回波仿真、成像及干涉处理。包括平地场景和圆锥形场景。3）PolSAR: 极化定标算法，Whitt, PARC, Quegan, Ainsworth。详见 rea…
Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysis with Qwen, DeepSeek, SmolVLM, LLaVA, YOLO26. LLM-powered agentic security camera agent — watches, underst…
The official repo for [TPAMI'25] "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
This is a code set for hyperpsectral anomaly detection including the RX, PTA, CRD, iForest, SSIIFD, MFIFD etc.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
A MATLAB Implementation of Heuristic Algorithms to Traveling Salesman Problem and Vehicle Routing Problems.
The source codes of Kernel-based Clustering via Isolation Distributional Kernel
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
bloop is a fast code search engine written in Rust.
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Multiscale Dynamic Graph Convolutional Network for hyperspectral image classification
Hyperspectral Image Classification
Source code for Isolation kernel-based agglomerative hierarchical clustering
This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'
The main goal of Sen2Like is to generate Sentinel-2 like harmonised/fused surface reflectances with higher periodicity by integrating additional compatible optical mission sensors.
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
Classification for hyperspectral imagery
Matlab code for hyperspectral image classification based on JSaCR (IEEE GRSL, 2017)
A list of hyperspectral image super-solution resources collected by Junjun Jiang
The matlab code for Set-To-Set distance based hyperspectral image classification using
A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7):…