Pronunciations
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/ˌmʌl.tiˈtɛm.pə.ɹəl/
Adjective
Of, relating to, or specifying multidimensional visual datasets, maps, or environment views captured across multiple distinct points in time, serving as the input corpus for vision-language models or predictive neural architectures to decode structural, environmental, or spatial changes.
Usage- not-comparable
- Examples
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Sample project: establishing a global forest monitoring capability using multi-resolution and multi-temporal remotely sensed data sets...
In this paper we aim to exploit the temporal dimension on the crop type classification using multi-temporal multispectral data and machine learning techniques.
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Multi-temporal images, i.e., images covering the same surface at different times, are essential for the analysis and understanding of short-term, long-term, and [dynamic surface processes]...
Of or relating to sensory fusion layers, parallel network branches, attention mechanics, or predictive algorithms engineered to model, align, or cross-optimize state embeddings and structural features derived from non-simultaneous temporal sequences.
Usage- not-comparable
- Examples
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Table 1 NASA MODIS and other multi-temporal data used in the present study.
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In these methods, the sequential relationship of multi-temporal observations was not explicitly considered, which might ignore some useful information in time...
This study focused on combining features extracted from multi-temporal images to create a comprehensive representation...