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Remote sensing data fusion has been playing a more and more important role in crop planting area monitoring, especially for crop area information acquisition. Multi-temporal data and multi-spectral ti...
In this study, three documented spatiotemporal data fusion models were applied to Landsat-7 and MODIS surface reflectance, and NDVI. The algorithms included the spatial and temporal adaptive reflectan...
With increasing amounts of data collected from satellite, airborne, and ground based imaging systems, image and data fusion techniques are gaining more and more importance. By the integration of multi...
With increasing amounts of data collected from satellite, airborne, and ground based imaging systems, image and data fusion techniques are gaining more and more importance. By the integration of multi...
LiDAR technology has become one of the major remote sensing methods in the last few years. There are several areas, where the scanned 3D point clouds can be used very efficiently. In our study we revi...
We present a mathematical model for a UAV-based, multi-sensor data integration. As a background, we first discuss the design and the implementation of a low-cost civilian UAV system, including its fie...
Data fusion methods are often employed to balance contradiction between spectral information and spatial information of remotely sensed images. The fused images formed by an effective data fusion meth...
Using data fusion of multi-spectral and microwave radar images, a semiautomatic method is developed based on the level set method for application to urban road extraction. The fast marching method of ...
A type of integrated remote sensing system (airborne multidimension integrated remote sensing system----AMIRS) which can acquire hyperspectral images,high special numeric stereo images and position-or...
The main objective of the remotely sensed data fusion is to create an integrated composite image of improved information and enhanced interpretability. This data have geospatial details about earth’s ...
The present study addresses the potential of Synthetic Aperture Radar (SAR) data for land cover classification in parts of Dandeli forested regions, Karnataka, India. a FCC has been generated from coh...
Owing to continuous developments in technology and new requirements single sensor measurements are faced with constraints in their accuracy and thus in the applicability of their results. An innovativ...
The application of data fusion techniques to very high resolution (VHR) satellite data can fruitfully improve the enhancement of archaeological marks and facilitate their detection. Nevertheless, the ...
Forest boundary delineation is one of the key issues of forest management for Swiss National Forest Inventory (NFI). The proposed approach in this paper focuses on the delineation of forest boundaries...

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