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An Empirical Study of Remote Sensing Pretraining [PDF]
Deep learning has largely reshaped remote sensing (RS) research for aerial image understanding and made a great success. Nevertheless, most of the existing deep models are initialized with the ImageNet pretrained weights.
Di Wang+4 more
semanticscholar +1 more source
Due to a technical error at the Editorial Office, Figure 7 of manuscript [1] was missing in the published paper. The correct version is reproduced below. We apologize for any inconvenience caused to authors or readers of Remote Sensing.[...]
Remote Sensing Editorial Office
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Erratum: Raney, R.K. Hybrid Dual-Polarization Synthetic Aperture Radar. Remote Sens. 2019, 11, 1521
Due to a technical problem, Figure 1 in [...]
Remote Sensing Editorial Office
doaj +1 more source
The Remote Sensing Editorial Office has been made aware that the published paper [...]
Remote Sensing Editorial Office
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A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges
Water pollution has become one of the most serious issues threatening water environments, water as a resource and human health. The most urgent and effective measures rely on dynamic and accurate water quality monitoring on a large scale.
Haibo Yang+5 more
semanticscholar +1 more source
Acknowledgement to Reviewers of Remote Sensing in 2014
The editors of the Remote Sensing office would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2014:[...]
Remote Sensing Editorial Office
doaj +1 more source
In this study, we proposed an automatic water extraction index (AWEI) threshold improvement model that can be used to detect lake surface water based on optical remote sensing data.
Fajar Yulianto+6 more
doaj +1 more source
RECENT RESULTS FROM EO STUDIES ON INDIAN CARBON CYCLE ASSESSMENT [PDF]
The monsoon based climate system, diverse land use and land cover distribution and cultural practices poses complex issues in monitoring, assessment and simulation of Indian carbon cycle.
V. K. Dadhwal+13 more
doaj +1 more source
Study of Digital Elevation Model (DEM) Extraction using Stereo Radargrammetry TerraSAR-X in Madiun Area – Elevation Accuracy Improvement [PDF]
High resolution images data from Terrasar-X are used to extract digital elevation model (DEM) using stereo radargrammetry in the attempt to achieve better resolution of terrain surface in Indonesia.
Sari Inggit L.+5 more
doaj +1 more source