Results 261 to 270 of about 179,456 (304)

Chlorophyll content retrieval from hyperspectral remote sensing imagery

Environmental Monitoring and Assessment, 2015
Chlorophyll content is the essential parameter in the photosynthetic process determining leaf spectral variation in visible bands. Therefore, the accurate estimation of the forest canopy chlorophyll content is a significant foundation in assessing forest growth and stress affected by diseases.
Xiguang, Yang, Ying, Yu, Wenyi, Fan
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Processing medical and remote sensing imagery

Physics in Technology, 1977
Report on Texture Analysis, Remote Sensing Society and the British Pattern Recognition Association, 19 April 1977 at the University of Oxford.
openaire   +1 more source

Shadow Removal Algorithm for Remote Sensing Imagery

2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO), 2019
This work is devoted to the problem of shadow removal from high-resolution remote sensing imagery. We investigated shadow properties in the HSV invariant color space. On the basis of the shadow properties we developed an enhanced algorithm that allows one to find paired shadow and non-shadowed regions of an image.
Yana Shedlovska, Volodymyr Hnatushenko
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Content based retrieval for remotely sensed imagery

4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002
We present a framework for content based retrieval (CBR) of remotely sensed imagery. The main focus of our research is the segmentation step in CBR. A bank of Gabor filters is used to extract regions of homogeneous texture. These filter responses are utilized in a multiscale clustering technique to yield the final segmentation. Novel area morphological
B. Raghunathan, S.T. Acton
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Remote sensing imagery and its contents

1990
Cette présentation vise à donner un premier aperçu de ce qu'est une image de télédétection, du type d'information qu'elle contient et des moyens à mettre en oeuvre pour accéder à cette information. Compte tenu de l'étendue du sujet nous avons volontairement limité le cadre de notre exposé aux images satellitaires en ce qui concerne la nature des images,
Deshayes, M., Maurel, P.
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Pre-processing of Remotely Sensed Imagery

2017
A common obstacle to the use of remote sensing data for nature conservation is the difficulty in obtaining or generating data that are pre-processed to a standard that gives confidence in their subsequent use. Such processing is essential in order to facilitate physical measurement (e.g., of temperature, surface reflectance, height) and compare data (e.
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Planet satellite remote sensing imagery

In support of multiple research projects across UC, we are creating a centralised shared data repository of existing and new satellite remote sensing data which has been acquired under research license from Planet Inc.
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Thermal remote sensing imagery in permafrost studies

2009
Mountain permafrost modelling in remote, continental mountain ranges (e.g. Russian Altai Mountains) holds several difficulties due to the limitations these environments pose. The lack of meteorological input data and impossibilities for BTS-validations (Bottom Temperatures of winter Snow cover) makes conventional modelling strategies inapplicable ...
Van De Kerchove R., Goossens R., De Wulf A., Bourgeois J., Gheyle W.   +4 more
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Novelty Detection in Remote Sensing Imagery

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022
Dawei Du, Christopher Funk, Anthony Hoogs   +2 more
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Automated Change Detection in Remotely Sensed Imagery

1999
A major application of remotely sensed imagery is the detection of changes in the configuration of man-made and natural structures. Classical multispectral imagery analysis has primarily relied on pixel-level classification to detect such changes. In this presentation, a system called FOCUS will,be described which detects changes based on spatial ...
Joseph Mundy, Rupert Curwen
openaire   +1 more source