Onboard information fusion for multisatellite collaborative observation: Summary, challenges, and perspectives
G Gao, L Yao, W Li, L Zhang… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
Onboard information fusion for multisatellites, which is based on spatial computing mode,
can improve the satellites' capability, such as the spatial–temporal coverage, detection …
can improve the satellites' capability, such as the spatial–temporal coverage, detection …
The Legacy of Scatterometers: Review of applications and perspective
A scatterometer, as an active microwave radar sensor, measures the return of radar waves
in the form of a backscatter coefficient after reflection or scattering from Earth's surface. The …
in the form of a backscatter coefficient after reflection or scattering from Earth's surface. The …
A framework for crop yield estimation and change detection using image fusion of microwave and optical satellite dataset
Crop yield prediction is one of the crucial components of agriculture that plays an important
role in the decision-making process for sustainable agriculture. Remote sensing provides …
role in the decision-making process for sustainable agriculture. Remote sensing provides …
Deep learning in the mapping of agricultural land use using Sentinel-2 satellite data
Continuous observation and management of agriculture are essential to estimate crop yield
and crop failure. Remote sensing is cost-effective, as well as being an efficient solution to …
and crop failure. Remote sensing is cost-effective, as well as being an efficient solution to …
Qualitative and quantitative analysis of artificial neural network-based post-classification comparison to detect the earth surface variations using hyperspectral and …
Remote sensing is an effective way to analyze land surface changes on regular basis
globally. In the previous literature, numerous change detection models were developed to …
globally. In the previous literature, numerous change detection models were developed to …
Estimation and validation of standalone SCATSAT-1 derived snow cover area using different MODIS products
In the present work, the scatterometer satellite (SCATSAT-1) has been implemented and
validated to provide the near-real-time estimation of snow cover area (SCA) in the Western …
validated to provide the near-real-time estimation of snow cover area (SCA) in the Western …
Comparative analysis and implication of Hyperion hyperspectral and landsat-8 multispectral dataset in land classification
Remote sensing via hyperspectral imaging delivers the crucial earth's surface information in
narrow spectral bands, which may not be possible with multispectral imaging. The …
narrow spectral bands, which may not be possible with multispectral imaging. The …
ENVINet5 deep learning change detection framework for the estimation of agriculture variations during 2012–2023 with Landsat series data
Remote sensing is one of the most important methods for analysing the multitemporal
changes over a certain period. As a cost-effective way, remote sensing allows the long-term …
changes over a certain period. As a cost-effective way, remote sensing allows the long-term …
Spatial and Spectral Analysis of Resampling Algorithms in Image Fusion of Optical and Microwave Satellite Images: A Case Study Over Western Himalayas
Abstract The Western Himalayas receive significant snowfall, and it's essential to monitor the
snow cover for various purposes like managing water resources, conducting hydrological …
snow cover for various purposes like managing water resources, conducting hydrological …
Detection of Soil Moisture Variations with Fusion-Based Change Detection Algorithm for MODIS and SCATSAT-1 Datasets
Soil moisture is a vital parameter in the study of hydrology, agriculture and meteorology. The
estimation of soil moisture is important for crop yield estimation, crop growth analysis and …
estimation of soil moisture is important for crop yield estimation, crop growth analysis and …