A FAST HYPERSPECTRAL CHANGE DETECTION ALGORITHM FOR AGRICULTURAL CROPS BASED ON LOW-RANK MATRIX AND MORPHOLOGICAL FEATURE EXTRACTION

A fast hyperspectral change detection algorithm for agricultural crops based on low-rank matrix and morphological feature extraction

Crop change detection study is the foundation of agricultural sustainability.The inherent high spectral resolution of hyperspectral images, combined with multi-temporal datasets, facilitates the detection Oils of subtle changes.To enhance the accuracy and applicability of hyperspectral change detection in agricultural scenes, this paper introduces

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Generation of hypoimmunogenic induced pluripotent stem cells by CRISPR-Cas9 system and detailed evaluation for clinical application

In order to expand the promise of regenerative medicine using allogeneic induced pluripotent stem cells (iPSCs), precise and efficient genome editing of human leukocyte antigen (HLA) genes would be advantageous to minimize the immune rejection caused by mismatches of HLA type.However, clinical-grade genome editing of multiple HLA genes in human iPS

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