2023年1月4日 · In this paper, we aim to provide a larger Hyperspectral Image dataset noted as SDFC dataset with a significant higher annotation ratio and more categories. The SDFC dataset has a high intra-class variance yet relatively low inter-class variance, which further contributes to the exploration of stronger hyperspectral image classification techniques.

Sun, L., Zhang, J., Li, J. et al. SDFC dataset: a large-scale benchmark dataset for hyperspectral image classification. Opt Quant Electron 55, 173 (2023). https://doi.org/10.1007/s11082-022-04399-9. No description, website, or topics provided. Contribute to danZengSHU/SDFCdataset development by creating an account on GitHub.

In recent years, advances in imaging spectroscopy provide us the opportunity to obtain the hyperspectral image data with high spectral and spatial resolution, therefore, in this paper, we contribute a large-scale benchmark dataset for conducting hyperspectral image classification to address issues raised by existing data-sets, noted as ShanDongF...

2009年3月1日 · Instead of dealing with spatial texture features in an image as was done [5], [6], [7], the proposed SDFC converts image-based texture features to spectral derivative features as spectral textures in terms of spectral variation. It encodes a signature as a binary code word while keeping track of gradient changes in spectral variation as ...

2022年8月10日 · In recent years, advances in imaging spectroscopy provide us the opportunity to obtain the hyperspectral image data with high spectral and spatial resolution, therefore, in this paper, we contribute a large-scale benchmark dataset for conducting hyperspectral image classification to address issues raised by existing datasets, noted as ...

2022年8月7日 · In recent years, advances in imaging spectroscopy provide us the opportunity to obtain the hyperspectral image data with high spectral and spatial resolution, therefore, in this paper, we...

In recent years, advances in imaging spectroscopy provide us the opportunity to obtain the hyperspectral image data with high spectral and spatial resolution, therefore, in this paper, we...

2025年2月13日 · Therefore, we propose the Selective Dynamic Feature Compensation-YOLO (SDFC-YOLO) algorithm for pavement distress detection. Firstly, we introduce the Dynamic Downsampling Module (DDM), which adaptively adjusts the sampling positions of the convolutional kernel during the feature extraction process, addressing the issue of a …

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2023年1月4日 · A novel large-scale hyperspectral imagery dataset, termed Orbita Hyperspectral Images Dataset-1 (OHID-1), which comprises 10 hyperspectral images sourced from diverse regions of Zhuhai City, China, each boasting 32 spectral bands with a spatial resolution of 10 meters and spanning a spectral range of 400–1000 nanometers is introduced.