The time weighted dynamic time warping (TWDTW) algorithm is an important algorithm for the time series analysis of remote sensing images. However, due to the limitation of computational complexity, it is difficult to apply this algorithm to large datasets. Therefore, combined with the characteristics...
Time-weighted dynamic time warping (TWDTW) 1. Introduction The advance of technological solutions applied to agriculture intensified the demand for more dynamic and accurate data on cultivated lands. The absence of such information can lead to speculations and uncertainties that affect the entire econom...
time series vegetation classificationadaptive time-weighted dynamic time warpingmoth flame-based bird swarm optimizationsatellite imagesSolapur districtThe global seasonal change and continued rapid growth have maximized the need to assess the urban dwellers' depend on vegetation for their...
By leveraging the Time-Weighted Dynamic Time Warping (TWDTW) distance metric in tandem with a 1 Nearest-Neighbor (1-NN) Classifier, this package offers functions to produce land use maps based on distinct seasonality patterns, commonly observed in the phenological cycles of vegetation. The ...
Dynamic Programming Algorithm Optimization for Spoken Word Recognition HIROAKI SAKOE,SEIBI CHIBA - 《Readings in Speech Recognition》 被引量: 5155发表: 1990年 Exact Indexing of Dynamic Time Warping The indexing of very large time series databases has attracted the attention of database community in ...
内容提示: Contents lists available at ScienceDirectRemote Sensing of Environmentjournal homepage: www.elsevier.com/locate/rseSentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysisMariana Belgiu a,⁎ , Ovidiu Csillik b,caFaculty of Geo-Information ...
Time-Weighted Dynamic Time Warping for satellite image time series analysis The opening of large archives of satellite data such as Landsat, MODIS and the Sentinels has given researchers unprecedented access to data, allowing them to better quantify and understand local and global land change. The ...
forest type;time-weighted dynamic time warping;random forest;support vector machine;mountain area;southern China 2. Materials and Methods 2.1. Study Area The study area is situated in Hunan Province of southern China, at 26°40′2″ N–27°9′13″ N, 109°26′00″ E–110°8′40″ E (...
However, irregular sampling may overshadow the dynamic features characterized by traditional recurrence network method, which makes the method ineffective. This paper introduces dynamic time warping method to determine the distance between time series segments. The method can match the features of time ...
Dynamic time warping (DTW), which finds the minimum path by providing non-linear alignments between two time series, has been widely used as a distance measure for time series classification and clustering. However, DTW does not account for the relative importance regarding the phase difference bet...