Aiming at the problem that the single-kernel SVR method has a large error in shallow water depth inversion, the mean relative error (MRE) of different water ...
ABSTRACT. Remote sensing has an important means of water depth detection in coastal shallow waters and reefs. Support vector regression (SVR) is a machine ...
It is a derivative-based technique, based on the structure tensor, and lookup-table-based gradient field reconstruction. It has many applications, including RGB ...
Multiple kernel SVR based on the MRE for remote sensing ... - dblp
dblp.org › conf › mippr › WangMZ17
Jinjin Wang, Yi Ma, Jingyu Zhang: Multiple kernel SVR based on the MRE for remote sensing water depth fusion detection. MIPPR 2017: 106111B.
Multiple kernel support vector regression based on fuzzy membership for remote sensing water depth fusion detection · Received Date: June 07, 2017 · Revised Date: ...
Nov 21, 2022 · Multiple kernel fusion (MKF) refers to the task of combining multiple sources of information in the Hilbert space for improved performance.
Missing: MRE | Show results with:MRE
Jul 16, 2024 · This study aimed to retrieve and map WQIs, namely dissolved oxygen (DO) and chlorophyll-a (Chl-a) of the Wadi Dayqah Dam (WDD) reservoir from Sentinel-2 (S2) ...
In order to predict water quality classification, recently, several studies have utilised machine learning techniques to assess the performance of water quality ...
Jan 18, 2022 · The current work aims to estimate flash flood water depths by concatenating the spectral information of remote sensing data, such as Sentinel-1 ...
Missing: MRE | Show results with:MRE
This study utilizes hyperspectral and LiDAR data collected by UAVs to proposes a multimodal deep fusion model (MulDFNet) using Transformer and multi-layer ...
Missing: MRE | Show results with:MRE