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Monitoring the tabular icebergs C28A and C28B calved from the Mertz Ice Tongue using radar remote sensing data

Remote Sensing of Environment, 2018
We analyzed the evolution processes of two tabular icebergs, C28A and C28B, originating from iceberg C28, using continuous multisource radar remote sensing data. The monitoring began during the calving of iceberg C28 from the Mertz Ice Tongue in February
Tian Li   +6 more
semanticscholar   +1 more source

RingMo-SAM: A Foundation Model for Segment Anything in Multimodal Remote-Sensing Images

IEEE Transactions on Geoscience and Remote Sensing, 2023
The proposal of the segment anything model (SAM) has created a new paradigm for the deep-learning-based semantic segmentation field and has shown amazing generalization performance.
Zhiyuan Yan   +8 more
semanticscholar   +1 more source

Helicity in radar remote sensing

IEEE International Geoscience and Remote Sensing Symposium, 2003
In this paper we investigate the use of radar polarimetry and polarimetric radar interferometry for measuring the properties of random chiral particle clouds. Helicity is an established concept in radar polarimetry but to date it has been restricted to coherent scattering mechanisms. Here we show how it can be used for random media studies and conclude
openaire   +1 more source

Radar remote sensing

1999
The scattering behaviour of the earth's surface at radar wavelengths can provide useful information about many natural processes. Since most applications of remote sensing require large areas to be surveyed, HF radars provide the only useful ground-based systems. These are used for sea sensing. Extensive coverage can be provided by air-borne platforms.
openaire   +1 more source

A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects

International Journal of Remote Sensing
Numerous remote sensing (RS) systems currently collect data about Earth and its environments. However, each system provides limited data in terms of spatial resolution, spectral information, and other parameters.
F. Samadzadegan   +2 more
semanticscholar   +1 more source

Deep-Learning for Change Detection Using Multi-Modal Fusion of Remote Sensing Images: A Review

Remote Sensing
Remote sensing images provide a valuable way to observe the Earth’s surface and identify objects from a satellite or airborne perspective. Researchers can gain a more comprehensive understanding of the Earth’s surface by using a variety of heterogeneous ...
Souad Saidi   +4 more
semanticscholar   +1 more source

Radar remote sensing: land cover classification

1998 IEEE Aerospace Conference Proceedings (Cat. No.98TH8339), 2002
The recent increase in the number of space-based and airborne synthetic aperture radar (SAR) systems and three-dimensional synthetic aperture radar systems (interferometric SAR; IFSAR) has resulted in new types of data that can complement other sensor systems and, in some cases, solve serious data collection deficiencies.
S. Jaroszewski, R. Lefevre
openaire   +1 more source

Radar Remote Sensing and Offshore Technology

Offshore Technology Conference, 1980
ABSTRACT It has been nearly two years since SEASAT, the first satellite dedicated to Oceanography, was launched. During its one hundred days, SEASAT's Imaging Radar penetrated clouds and foul weather operating day and night, mapping pertinent areas of the globe with better than 25m ground resolution.
openaire   +1 more source

Remote sensing with laser spectrum radar

SPIE Proceedings, 2016
The unmanned airborne (UAV) laser spectrum radar has played a leading role in remote sensing because the transmitter and the receiver are together at laser spectrum radar. The advantages of the integrated transceiver laser spectrum radar is that it can be used in the oil and gas pipeline leak detection patrol line which needs the non-contact reflective
Tianhe Wang, Tao Zhou, Xiaodong Jia
openaire   +1 more source

Balance learning for ship detection from synthetic aperture radar remote sensing imagery

Isprs Journal of Photogrammetry and Remote Sensing, 2021
Tianwen Zhang   +10 more
semanticscholar   +1 more source

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