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Score-Driven Modeling of Spatio-Temporal Data. [PDF]
J Am Stat Assoc, 2023 A simultaneous autoregressive score-driven model with autoregressive disturbances is developed for spatio-temporal data that may exhibit heavy tails. The model specification rests on a signal plus noise decomposition of a spatially filtered process,where the signal can be approximated by a nonlinear function of the past variables and a set of ...
Gasperoni F +3 more
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Spatio-Temporal Data Construction [PDF]
ISPRS International Journal of Geo-Information, 2013 On the route to a spatio-temporal geoscience information system, an appropriate data model for geo-objects in space and time has been developed. In this model, geo-objects are represented as sequences of geometries and properties with continuous ...
Hai Ha Le
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Universal kriging for spatio‐temporal data
Mathematical Modelling and Analysis, 2003 In this article we have used wide applicable classes of spatio‐temporal nonseparable and separable covariance models. One of the objectives of this paper is to furnish a possibility how to avoid the usage of complicated covariance functions.
E. Lesauskiene, K. Dučinskas
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GIScience & Remote Sensing, 2023 Accurate and near-real-time crop mapping from satellite imagery is crucial for agricultural monitoring. However, the seasonal nature of crops makes it challenging to rely on traditional machine learning methods and previous samples generated within ...
Lijun Wang +5 more
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Remote Sensing, 2022 Frequent agricultural activities in farmland ecosystems bring challenges to crop information extraction from remote sensing (RS) imagery. The accurate spatiotemporal information of crops serves for regional decision support and ecological assessment ...
Lijun Wang +6 more
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Feature Fusion Approach for Temporal Land Use Mapping in Complex Agricultural Areas
Remote Sensing, 2021 Accurate temporal land use mapping provides important and timely information for decision making for large-scale management of land and crop production.
Lijun Wang, Jiayao Wang, Fen Qin
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Few-Shot Building Footprint Shape Classification with Relation Network
ISPRS International Journal of Geo-Information, 2022 Buildings are important entity objects of cities, and the classification of building shapes plays an indispensable role in the cognition and planning of the urban structure.
Yaohui Hu +5 more
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REAL-TIME UAV 3D IMAGE POINT CLOUDS MAPPING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 This paper proposes a real-time 3D image point clouds mapping algorithm for UAVs that is capable of mapping effectively in weak GNSS environments. And a UAV mapping system is integrated with a RGB camera, an inertial measurement unit (IMU), a GNSS ...
S. Sun +19 more
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AUTOMATIC EVALUATION OF THE INITIAL GEOPOSITIONING ACCURACY FOR LARGE AREA PLANETARY REMOTE SENSING IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The photogrammetric processing of large area planetary remote sensing images is still a very challenging work. In addition to the lack of ground control data and poor tie points extraction, the insufficient knowledge of the initial geopositioning ...
X. Geng +4 more
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TriangleConv: A Deep Point Convolutional Network for Recognizing Building Shapes in Map Space
ISPRS International Journal of Geo-Information, 2021 The classification and recognition of the shapes of buildings in map space play an important role in spatial cognition, cartographic generalization, and map updating.
Chun Liu +5 more
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