Remote Sensing

Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset


Automatic classification of sensitive content in remote sensing images, such as drug crop sites, is a promising task as it can aid law-enforcement institutions fighting illegal drug dealers worldwide, while, at the same time, it can help monitoring legalized crops in countries that regulate them. However, existing art on detecting drug crops from remote sensing images is limited in some key factors not taking full advantage of the available hyperspectral info for analysis.

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Citation Author(s):
Submitted by:
Anselmo Ferreira
Last updated:
Sun, 04/29/2018 - 01:50
DOI:
10.21227/H2WD42
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[1] , "Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2WD42. Accessed: May. 25, 2018.
@data{h2wd42-18,
doi = {10.21227/H2WD42},
url = {http://dx.doi.org/10.21227/H2WD42},
author = { },
publisher = {IEEE Dataport},
title = {Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset},
year = {2018} }
TY - DATA
T1 - Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2WD42
ER -
. (2018). Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset. IEEE Dataport. http://dx.doi.org/10.21227/H2WD42
, 2018. Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset. Available at: http://dx.doi.org/10.21227/H2WD42.
. (2018). "Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset." Web.
1. . Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2WD42
. "Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset." doi: 10.21227/H2WD42

DARPA KASSPER Radar Data Set


High-fidelity, physics-based multichannel radar data cube provided by the DARPA KASSPER project. This data is ideal for analyzing space-time adaptive processing (STAP) algorithms since both sample data and truth data are provided.

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Dataset Details

Citation Author(s):
Submitted by:
Joseph Guerci
Last updated:
Fri, 12/22/2017 - 14:39
DOI:
10.21227/H27Q0R
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[1] , "DARPA KASSPER Radar Data Set", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H27Q0R. Accessed: May. 25, 2018.
@data{h27q0r-17,
doi = {10.21227/H27Q0R},
url = {http://dx.doi.org/10.21227/H27Q0R},
author = { },
publisher = {IEEE Dataport},
title = {DARPA KASSPER Radar Data Set},
year = {2017} }
TY - DATA
T1 - DARPA KASSPER Radar Data Set
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H27Q0R
ER -
. (2017). DARPA KASSPER Radar Data Set. IEEE Dataport. http://dx.doi.org/10.21227/H27Q0R
, 2017. DARPA KASSPER Radar Data Set. Available at: http://dx.doi.org/10.21227/H27Q0R.
. (2017). "DARPA KASSPER Radar Data Set." Web.
1. . DARPA KASSPER Radar Data Set [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H27Q0R
. "DARPA KASSPER Radar Data Set." doi: 10.21227/H27Q0R

A dataset containing frame images and dense airborne laser scanning point clouds


This dataset contains aerial images acquired with a medium format digital camera and point clouds collected using an airborne laser scanning (ALS) unit, as well as ground control points and direct georeferencing data. The flights were performed in 2014 over an urban area in Presidente Prudente, State of São Paulo, Brazil, using different flight heights. These flights covered several features of interest for research, including buildings of different sizes and roof materials, roads and vegetation.

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Dataset Details

Citation Author(s):
Submitted by:
Antonio Tommaselli
Last updated:
Mon, 12/04/2017 - 14:48
DOI:
10.21227/H2SK8C
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[1] , "A dataset containing frame images and dense airborne laser scanning point clouds", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2SK8C. Accessed: May. 25, 2018.
@data{h2sk8c-17,
doi = {10.21227/H2SK8C},
url = {http://dx.doi.org/10.21227/H2SK8C},
author = { },
publisher = {IEEE Dataport},
title = {A dataset containing frame images and dense airborne laser scanning point clouds},
year = {2017} }
TY - DATA
T1 - A dataset containing frame images and dense airborne laser scanning point clouds
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2SK8C
ER -
. (2017). A dataset containing frame images and dense airborne laser scanning point clouds. IEEE Dataport. http://dx.doi.org/10.21227/H2SK8C
, 2017. A dataset containing frame images and dense airborne laser scanning point clouds. Available at: http://dx.doi.org/10.21227/H2SK8C.
. (2017). "A dataset containing frame images and dense airborne laser scanning point clouds." Web.
1. . A dataset containing frame images and dense airborne laser scanning point clouds [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2SK8C
. "A dataset containing frame images and dense airborne laser scanning point clouds." doi: 10.21227/H2SK8C

An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space


This study deals with derivation of an exact expressions for the current distribution and the input impedance of a circular loop antenna over a lossy half-space. the analysis is based on the image method, the direct integration of the vector potential, and the spherical function expansion. the results for the current distribution of this study are in very good agreement with those corresponding results available in the literature, which checks the correctness of formulations of the study.   

 

 

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Citation Author(s):
Submitted by:
Sameir Ali Hamed
Last updated:
Sat, 11/11/2017 - 07:03
DOI:
10.21227/H27S73
 
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[1] , "An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H27S73. Accessed: May. 25, 2018.
@data{h27s73-17,
doi = {10.21227/H27S73},
url = {http://dx.doi.org/10.21227/H27S73},
author = { },
publisher = {IEEE Dataport},
title = {An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space},
year = {2017} }
TY - DATA
T1 - An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H27S73
ER -
. (2017). An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space. IEEE Dataport. http://dx.doi.org/10.21227/H27S73
, 2017. An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space. Available at: http://dx.doi.org/10.21227/H27S73.
. (2017). "An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space." Web.
1. . An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H27S73
. "An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space." doi: 10.21227/H27S73

Campo Verde Database


In tropical/subtropical regions, the favorable climate associated with the use of agricultural technologies, such as no-tillage, minimum cultivation, irrigation, early varieties, desiccants, flowering inducing and crop rotation, makes agriculture highly dynamic. In this paper, we present the Campo Verde agricultural database. The purpose of creating and sharing these data is to foster advancement of remote sensing technology in areas of tropical agriculture, primarily the development and testing of methods for crop recognition and agricultural mapping.

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Dataset Details

Citation Author(s):
Submitted by:
Raul Queiroz Feitosa
Last updated:
Fri, 11/10/2017 - 15:29
DOI:
10.21227/H2804B
Data Format:
 
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[1] , "Campo Verde Database", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2804B. Accessed: May. 25, 2018.
@data{h2804b-17,
doi = {10.21227/H2804B},
url = {http://dx.doi.org/10.21227/H2804B},
author = { },
publisher = {IEEE Dataport},
title = {Campo Verde Database},
year = {2017} }
TY - DATA
T1 - Campo Verde Database
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2804B
ER -
. (2017). Campo Verde Database. IEEE Dataport. http://dx.doi.org/10.21227/H2804B
, 2017. Campo Verde Database. Available at: http://dx.doi.org/10.21227/H2804B.
. (2017). "Campo Verde Database." Web.
1. . Campo Verde Database [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2804B
. "Campo Verde Database." doi: 10.21227/H2804B