Coherent random noise radar has been developed at the Univei:vity qfNebraska jbr the detection arid identification of shallow subsurface objects such ay land mines. Other application range.sfrom reniote sensing, s.ynthetic aperlzire radar and high-rtmlution interferometer, to covert turget tmcking. i n this paper, we describe the experimental investigation of a novel applicntion of' superfluore...

Compared to optical sensors the use of radar for earth observation has only just begun. The rst use of radar for this purpose was reported in the sixties. The most important reason to use radar instead of optical sensors is of course its capability to penetrate through clouds and its day and night imaging capabilities. However, radar interferometry might add yet another reason to use radar. Rec...

This paper contempts optical and radar data complementarity for the characterization and cartography of urban landscapes. Our study site, the city of Caiena, is located in French Guiana (4,56º Latitude North). Complex urban dynamics result in a significant diversity of unstable urban habitats, for which optical remote sensing does bring solutions in terms of mapping and monitoring. But because ...

This study evaluated the advantages of combining traditional spaceborne optical data from the visible and infrared wavelengths with the longer wavelengths of radar. Several East African landscapes and one from Nepal including areas of settlements, natural vegetation and agriculture were examined. For these study sites, multisensor data sets were digitally integrated with training and truth info...

This paper presents a DEM generation procedure based on optical (SPOT stereo) and radar (InSAR, interferometric SAR) data. The first part of the paper is focused on InSAR. The second one is concerned with the integration of optical and radar data. Two levels of integration are proposed: the SPOT data can support the InSAR procedure (in particular phase unwrapping) and the SPOT and InSAR data ca...

Object-based image analysis of optical and radar variables for wetland evaluation Laura Dingle Robertson, Douglas J. King & Chris Davies To cite this article: Laura Dingle Robertson, Douglas J. King & Chris Davies (2015) Object-based image analysis of optical and radar variables for wetland evaluation, International Journal of Remote Sensing, 36:23, 5811-5841, DOI: 10.1080/01431161.2015.1109727...

This paper introduces a method for road network extraction from satellite images. The proposed approach covers a new fusion method (using data from multiple sources) and a new Markov random field (MRF) defined on connected components along with a multilevel application (two levels MRF). Our method allows the detection of roads with different characteristics and decreases by around 30% the size ...

Polarimetric Imaging: From Optical Coherence Tomography to Laser Radar

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