In this way, the feature's representation ability can be improved. Secondly, we propose the MFSTN, a multi-feature spatial–temporal fusion network, which include the temporal transformer encoder and graph attention network to obtain the latent representation of spatial–temporal features. Especially,...
Given a spatial dataset of n dimensions, a data-driven partitioning of the dataset is effected into topographically contiguous regions using feature specific indices. Then on each region, a set of features is calculated according to a computer process, wherein the features are considered sufficiently...
Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classificationdoi:10.48550/arXiv.1905.03577... WS Hu,HC Li,L Pan,... 被引量: 0发表: 2019年 A novel spectral-spatial 3D auxiliary conditional GAN integrated convolutional LSTM for hyperspectral image classific...
In this paper, we propose a novel frequency-spatial domain feature fusion network (FSDFF) for SSR, which simultaneously learns and fuses the frequency and spatial domain features of HSI. Frequency domain features can reflect the global information of image, which can be used to obtain the ...
In this letter, a range-Doppler (RD) image-based novel ship detection algorithm is proposed by exploiting spatial-frequency information and a unique feature fusion based on the analysis of variance. The algorithm subsumes three successive stages: Stage I--the plausible region of interest is ...
Early detection of N, P, K deficiency in Choy Sum using hyperspectral imaging-based spatial spectral feature miningdoi:10.3389/fphot.2024.1418246Xinhui Teo, ValerieDhandapani, SavithaAng Jie, RandallPhilip, Vidya SusanTeo Ju Teng, MarkShuyan Zhang...
Integrating stroke-distribution information into spatial feature extraction for automatic handwriting recognitionMethods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire ...
We introduce the ”Enhanced Gait Feature Extraction Framework (GaitSTAR)”, a novel method that incorporates dynamic feature weighting through the discriminant analysis of temporal and spatial features within a channel-wise architecture. Key innovations in GaitSTAR include dynamic stride flow representation...
Urban area detection using local features and spatial voting IEEE Geoscience and Remote Sensing LettersSirmacek, B. , Unsalan, C. : ‘ Urban area detection using local feature points and spatial voting ’, IEEE... B Sirmacek,C Unsalan - 《IEEE Geoscience & Remote Sensing Letters》 被引量...
2+(H2O)n AND THE SPATIAL CHANGING FEATURE IN THE FORMATION PROCESS OF HYDROXIDE]]>Proton-transfer reactionab initio methodclassical turning point of electronic motionmolecular intrinsic characteristic contourThe proton-transfer reaction in Be2+(H2O)n is investigated by an ab initio calculation. With ...