K Yang, A Pan, Y Yang, S Zhang, SH Ong, H Tang - Remote Sensing, 2017 - mdpi.com
… remotesensingimages taken from different viewpoint. As a basic technology in the field of remotesensingimageprocessing… Existing remotesensingimage registration methods can be …
D Lu, Q Weng, E Moran, G Li… - … Remote Sensing …, 2011 - api.taylorfrancis.com
… of original images to see any remotesensing system–induced radiometric errors is necessary before the data are used for further processing Accurate geometric rectification or image …
F Wang - Photogrammetric engineering and remote sensing, 1990 - asprs.org
… remotesensingimage analysis lies in the loss of spectral information during the process of image … In this research, information loss in the image classification process is explored. A …
S Wang, D Quan, X Liang, M Ning, Y Guo… - … and Remote Sensing, 2018 - Elsevier
… of remotesensingimages for training, our proposal introduces a self-learning by learning the mapping function using images and … imageprocessing, which will directly influence the …
G Hong, Y Zhang - Computers & Geosciences, 2008 - Elsevier
… imageprocessing procedure in remotesensing and has been studied by remotesensing imageprocessing … automatic image registration method, and most existing image registration …
F Nencini, A Garzelli, S Baronti, L Alparone - Information fusion, 2007 - Elsevier
… In recent years, nonseparable MRA has been proposed for imageprocessing. In particular, the curvelet transform, originally proposed for image denoising [14], has been found to be an …
In this paper, we propose a remote-sensing scene-classification method based on vision transformers. These types of networks, which are now recognized as state-of-the-art models in …
Y Chang, L Yan, T Wu, S Zhong - … and Remote Sensing, 2016 - ieeexplore.ieee.org
… problem in remotesensingimageprocessing that holds significant practical importance for subsequent applications. These variational destriping methods have obtained impressive …
… as one of the most stable and robust corner detectors in imageprocessing. The basic idea is to use the autocorrelation function in order to determine locations where the signal changes …