de Inteligencia Computacional 2020): The Salinas Valley dataset consists of hyperspectral images collected from California, with multi-label classification maps of pixel size 512 \(\times\) 217 and 224 spectral bands, similar to the Indian Pines dataset. There are 16 semantic classes with 54,129 ...
The experimental results showed that average OA of RPACA-BS was up to 89.80%, 94.96% and 92.17% for the Indian Pines, Pavia University and Botswana dataset, respectively, which was higher than that of the benchmarks, including the ant colony algorithm-based band selection algorithm (ACA-BS)...
Indian Pines (IN) dataset Fig.4 The IN dataset classification result (Overall Accuracy 99.44%) of SSRN using 20% samples for training. (a) False color image. (b) Ground truth labels. (c) Classification map. University of Pavia (UP) dataset ...
Indian Pines Dataset This scene was gathered byAVIRIS sensorrecorded over Northwestern Indiana, USA, and consists of 145x145 pixels and 224 spectral reflectance bands in the wavelength range 0.4–2.5 10^(-6) meters. The Indian Pines scene contains two-thirds agriculture, and one-third forest or...
4). High values of nucleotide substitution are found in lineages of Trombidiformes, Sarcoptiformes, Eriophyoidea, Araneae and Pseudoscorpines (Additional file 2: Fig. S22a). These lineages were inferred as having high evolution rates (long-branches) in phylogenomics studies [46, 47]. Further...
[3], which are all evaluated and compared with each other on standard benchmark academic datasets such as Indian Pines (imaged in 1995[4], Pavia University (2001) and Salinas (imaged in 1998). Current state-of-the-art deep learning methods[5],[6],[7],[8],[9],[10],[11]have ...
在光谱分支中,设计了光谱Transformer来获取高光谱图像的光谱序列信息。从空间分支和光谱分支获得的信息被有效融合,从而得到最终的分类结果。实验结果表明,与传统的卷积神经网络和基于Transformer的方法相比,所设计的GSSFT方法在Indian Pines、University of Pavia和S...
This parameter may be changed in the code associated with this dataset (see Code Availability). SCIENTIFIC DATA | 4:170088 | DOI: 10.1038/sdata.2017.88 7 www.nature.com/sdata/ Ocn_114: Ocean2kHR-IndianAbrolhosKuhnert1999 -3 -3.2 -3.4 -3.6 -3.8 -4 -4.2 -4.4 -4.6 -4.8 1800 1820 ...
The model achieved an impressive accuracy of 97.47% on the Indian Pines dataset with the utilization of 1024 labeled samples during the training phase [34]. It is evident that current mainstream methods have achieved near-perfect classification results on this dataset. However, this also implies ...
Dataset on the mass spectrometry-based proteomic profiling of the kidney from wild type and the dystrophic mdx-4cv mouse model of X-linked muscular dystrophy. Data Brief. 2020, 28, 105067. [Google Scholar] [CrossRef] [PubMed] Dowling, P.; Gargan, S.; Zweyer, M.; Henry, M.; ...