Cargando…
A Fast Dense Feature-Matching Model for Cross-Track Pushbroom Satellite Imagery
Feature-based matching can provide high robust correspondences and it is usually invariant to image scale and rotation. Nevertheless, in remote sensing, the robust feature-matching algorithms often require costly computations for matching dense features extracted from high-resolution satellite image...
Autores principales: | Du, Wen-Liang, Li, Xiao-Yi, Ye, Ben, Tian, Xiao-Lin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308846/ https://www.ncbi.nlm.nih.gov/pubmed/30501037 http://dx.doi.org/10.3390/s18124182 |
Ejemplares similares
-
Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model
por: Jannati, Mojtaba, et al.
Publicado: (2017) -
A Two-Phase Space Resection Model for Accurate Topographic Reconstruction from Lunar Imagery with PushbroomScanners
por: Xu, Xuemiao, et al.
Publicado: (2016) -
Reduction of Radiometric Miscalibration—Applications to Pushbroom Sensors
por: Rogaß, Christian, et al.
Publicado: (2011) -
A Digital Sensor Simulator of the Pushbroom Offner Hyperspectral Imaging Spectrometer
por: Tao, Dongxing, et al.
Publicado: (2014) -
Non-Destructive Trace Detection of Explosives Using Pushbroom Scanning Hyperspectral Imaging System
por: Chaudhary, Siddharth, et al.
Publicado: (2018)