zxy344

zxy344's Stars

• zhaoxile/Double-Factor-Regularized-Low-Rank-Tensor-Factorization-for-Mixed-Noise-Removal-in-Hyperspe

  code of Double Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspe

  Language:MATLAB72

• zhaoxile/Hyperspectral-Image-Restoration-via-Total-Variation-Regularized-Low-rank-Tensor-Decomposition

  code of Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition

  Language:MATLAB3110

• hezw2016/DLS-NUC

  Testing code for "Zewei He, Yanpeng Cao, Yafei Dong, Jiangxin Yang, Yanlong Cao, and Christel-Löic Tisse, "Single-image-based nonuniformity correction of uncooled long-wave infrared detectors: a deep-learning approach," Appl. Opt. 57, D155-D164 (2018)"

  Language:MATLAB3715

• shahdharam7/MGSEE

  In the hyperspectral unmixing literature, endmember extraction is addressed majorly using three methods i.e. Statistical, Sparse-regression and Geometrical. The majority of the endmember extraction algorithms are developed based on only one of the methods. Recently, GSEE (Geo-Stat Endmember Extraction) has been proposed that combines the geometrical and statistical features. In this paper, we propose a Modified GSEE (MGSEE) algorithm which considers the removal of noisy bands. In the proposed work, the Minimum Noise Fraction (MNF) is used to select high SNR bands. The strength of the MGSEE framework is scrutinized using a synthetic and real benchmark dataset. In this paper, we show that the proposed algorithm obtained from the GSEE by preceding the noise removal step greatly decreases Spectral Angle Error (SAE) and Spectral Information Divergence (SID) error thus indicating its importance to extract pure material in the unmixing problem.

  Language:MATLAB91

• shahdharam7/JARS-SPIE_2020_Kmedoids

  Convex geometry and K-medoids based noise-robust endmember extraction algorithm

  Language:MATLAB11

• savasozkan/endnet

  Language:MATLAB277

• yuehniu/Remote.Sensing

  Hyperspectral image unmixing.

  Language:Matlab3614

• wanglilix/JPEG2000

  jpeg2000

  Language:C21

• xiaoyufenfei/ESNet

  ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

  Language:Python9511

• divamgupta/image-segmentation-keras

  Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

  Language:Python2.9k1.2k

• SatyabratSrikumar/Normalized-Cuts-and-Image-Segmentation-Matlab-Implementation

  Language:Matlab4320

• fanzhaoyun/imageSegmentation

  kmeans,fcm,kfcm实现图像分割

  Language:Matlab4718