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Geometric calibration is able to provide high-accuracy geometric coordinates of spaceborne SAR image through accurate geometric parameters in the Range-Doppler model by ground control points (GCPs). H...
Topic modeling has been an increasingly mature method to bridge the semantic gap between the low-level features and high-level semantic information. However, with more and more high spatial resolution...
In this paper, we present a kernel sparse subspace clustering with spatial max pooling operation (KSSC-SMP) algorithm for hyperspectral remote sensing imagery. Firstly, the feature points are mapped f...
In this paper we propose a cloud removal algorithm for scenes within a Sentinel-2 satellite image time series based on synthetisation of the affected areas via sparse reconstruction. For this purpose,...
Operating in panchromatic mode onboard SPOT 5, the HRS instrument has two telescopes, one pointing forward and one aft of the satellite. HRS is thus able to cover an area of 600 km x 120 km in a singl...
High-resolution satellite images (HRSI) at sub-5m footprint such as IKONOS, IRS-P5 (CartoSat-1) and SPOT-5 HRG/HRS images are becoming increasingly available to the earth observation community and the...
In this contribution we describe an image-based framework for 3D surface reconstruction by a combined analysis of reflectance,polarisation, and sparse depth data. An error functional consisting of sev...
In this contribution we describe an image-based framework for 3D surface reconstruction by a combined analysis of reflectance,polarisation, and sparse depth data. An error functional consisting of sev...
In this paper, we explore the possibility of sparse regression, a new direction in unmixing, for vegetation and urban area classification. SUnSAL (Sparse unmixing via variable splitting and augmented ...
In this paper, we propose a robust technique using genetic algorithm for detecting inliers and estimating accurate motion parameters from putative correspondences containing any percentage of outliers...
Sparse representation and decoding is often used for denoising images and compression of images with respect to inherent features. In this paper, we adopt a methodology incorporating sparse representa...
The goal of this paper is to estimate a denoised phase image from the observed noisy SAR interferogram. We proposed a linear model to obtain a sparse representation of the interferomteric phase image....
This paper describes an approach for detecting windows from multi-aspect airborne laser scanning point clouds which were recorded in a forward looking view. Since the resolution of the point cloud is ...
In this paper, we propose an automated technique for creating a simplified 3D structure shape model of indoor environments from the sparse 3D point information provided by the photogrammetric method. ...

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