Results 31 to 40 of about 23,541,003 (316)
Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation [PDF]
This paper presents a despeckling method for Sentinel-1 GRD images based on the recently proposed framework "SAR2SAR": a self-supervised training strategy. Training the deep neural network on collections of Sentinel 1 GRD images leads to a despeckling algorithm that is robust to space-variant spatial correlations of speckle.
arxiv +1 more source
PARKING OCCUPANCY ESTIMATION ON SENTINEL-1 IMAGES [PDF]
Abstract. This paper presents a method to estimate the occupancy ratio of parkings from SAR satellite images. The algorithm takes as input a series of Sentinel-1 images along with a mask indicating where the parking is located and returns for each image an occupancy ratio. The method is generic and can easily be extended. We validate our results in two
S. Drouyer+2 more
openaire +4 more sources
Microwave and optical imaging methods react differently to different land surface parameters and, thus, provide highly complementary information. However, the contribution of individual features from these two domains of the electromagnetic spectrum for ...
M. Lechner+4 more
semanticscholar +1 more source
Outlier detection at the parcel-level in wheat and rapeseed crops using multispectral and SAR time series [PDF]
This paper studies the detection of anomalous crop development at the parcel-level based on an unsupervised outlier detection technique. The experimental validation is conducted on rapeseed and wheat parcels located in Beauce (France). The proposed methodology consists of four sequential steps: 1) preprocessing of synthetic aperture radar (SAR) and ...
arxiv +1 more source
Nationwide and consistent information on agricultural land use forms an important basis for sustainable land management maintaining food security, (agro)biodiversity, and soil fertility, especially as German agriculture has shown high vulnerability to ...
Sarah Asam+5 more
semanticscholar +1 more source
It is challenging to map the spatial distribution of natural and planted forests based on satellite images because of the high correlation among them.
Gustavo Fluminense Carneiro+2 more
doaj +1 more source
AbstractAs part of the European Copernicus programme, the Sentinel-1 mission, based on a constellation of two SAR satellites, ensures continuity for Europe of C-band SAR observations. Sentinel-1A and Sentinel-1B were respectively launched from Kourou on 3rd April 2014 and 25th April 2016.Full Operations Capacity (FOC) of the mission is expected to be ...
Nuno Miranda+3 more
openaire +2 more sources
Yield estimation of summer maize based on multi‐source remote‐sensing data
Abstract Accurately estimating regional‐scale crop yields is substantial in determining current agricultural production performance and effective agricultural land management. The Yuncheng Basin is an important grain‐producing area in the Shanxi Province. This paper used Sentinel 2A with a spatial resolution of 10 m and MODIS with a temporal resolution
Jingshu Wang+4 more
wiley +1 more source
Large‐Scale Interseismic Strain Mapping of the NE Tibetan Plateau From Sentinel‐1 Interferometry
The launches of the Sentinel‐1 synthetic aperture radar satellites in 2014 and 2016 started a new era of high‐resolution velocity and strain rate mapping for the continents.
Q. Ou+6 more
semanticscholar +1 more source
Bamboo groves predominantly thrive in tropical or subtropical regions. Assessing the efficacy of remote sensing data of various types in extracting bamboo forest information from bright and shadow areas is a critical issue for achieving precise ...
Songyang Xiang+9 more
doaj +1 more source