82 related articles for article (PubMed ID: 25551561)
1. Spotting East African mammals in open savannah from space.
Yang Z; Wang T; Skidmore AK; de Leeuw J; Said MY; Freer J
PLoS One; 2014; 9(12):e115989. PubMed ID: 25551561
[TBL] [Abstract][Full Text] [Related]
2. Mapping the abundance and distribution of Adélie penguins using Landsat-7: first steps towards an integrated multi-sensor pipeline for tracking populations at the continental scale.
Lynch HJ; Schwaller MR
PLoS One; 2014; 9(11):e113301. PubMed ID: 25412466
[TBL] [Abstract][Full Text] [Related]
3. Integrating satellite and unmanned aircraft system (UAS) imagery to model livestock population dynamics in the Longbao Wetland National Nature Reserve, China.
Wang D; Song Q; Liao X; Ye H; Shao Q; Fan J; Cong N; Xin X; Yue H; Zhang H
Sci Total Environ; 2020 Dec; 746():140327. PubMed ID: 32768776
[TBL] [Abstract][Full Text] [Related]
4. Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation.
Gonzalez LF; Montes GA; Puig E; Johnson S; Mengersen K; Gaston KJ
Sensors (Basel); 2016 Jan; 16(1):. PubMed ID: 26784196
[TBL] [Abstract][Full Text] [Related]
5. Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks.
Sharma A; Liu X; Yang X
Neural Netw; 2018 Sep; 105():346-355. PubMed ID: 29933156
[TBL] [Abstract][Full Text] [Related]
6. Fine-scale mapping of vector habitats using very high resolution satellite imagery: a liver fluke case-study.
De Roeck E; Van Coillie F; De Wulf R; Soenen K; Charlier J; Vercruysse J; Hantson W; Ducheyne E; Hendrickx G
Geospat Health; 2014 Dec; 8(3):S671-83. PubMed ID: 25599638
[TBL] [Abstract][Full Text] [Related]
7. Census parcels cropping system classification from multitemporal remote imagery: a proposed universal methodology.
García-Torres L; Caballero-Novella JJ; Gómez-Candón D; Peña JM
PLoS One; 2015; 10(2):e0117551. PubMed ID: 25689830
[TBL] [Abstract][Full Text] [Related]
8. Assessing Rotation-Invariant Feature Classification for Automated Wildebeest Population Counts.
Torney CJ; Dobson AP; Borner F; Lloyd-Jones DJ; Moyer D; Maliti HT; Mwita M; Fredrick H; Borner M; Hopcraft JG
PLoS One; 2016; 11(5):e0156342. PubMed ID: 27227888
[TBL] [Abstract][Full Text] [Related]
9. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.
Paciorek CJ; Liu Y;
Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153
[TBL] [Abstract][Full Text] [Related]
10. Fencing bodes a rapid collapse of the unique Greater Mara ecosystem.
Løvschal M; Bøcher PK; Pilgaard J; Amoke I; Odingo A; Thuo A; Svenning JC
Sci Rep; 2017 Jan; 7():41450. PubMed ID: 28120950
[TBL] [Abstract][Full Text] [Related]
11. Artifact removal for GLS map makers by means of post-processing.
Piazzo L; Ikhenaode D; Natoli P; Pestalozzi M; Piacentini F; Traficante A
IEEE Trans Image Process; 2012 Aug; 21(8):3687-96. PubMed ID: 22562757
[TBL] [Abstract][Full Text] [Related]
12. Optimal filter framework for automated, instantaneous detection of lesions in retinal images.
Quellec G; Russell SR; Abramoff MD
IEEE Trans Med Imaging; 2011 Feb; 30(2):523-33. PubMed ID: 21292586
[TBL] [Abstract][Full Text] [Related]
13. Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery.
Chew RF; Amer S; Jones K; Unangst J; Cajka J; Allpress J; Bruhn M
Int J Health Geogr; 2018 May; 17(1):12. PubMed ID: 29743081
[TBL] [Abstract][Full Text] [Related]
14. Scaling Analysis of Ocean Surface Turbulent Heterogeneities from Satellite Remote Sensing: Use of 2D Structure Functions.
Renosh PR; Schmitt FG; Loisel H
PLoS One; 2015; 10(5):e0126975. PubMed ID: 26017551
[TBL] [Abstract][Full Text] [Related]
15. Estimating denominators: satellite-based population estimates at a fine spatial resolution in a European urban area.
Viel JF; Tran A
Epidemiology; 2009 Mar; 20(2):214-22. PubMed ID: 19177025
[TBL] [Abstract][Full Text] [Related]
16. Assessing the population coverage of a health demographic surveillance system using satellite imagery and crowd-sourcing.
Di Pasquale A; McCann RS; Maire N
PLoS One; 2017; 12(8):e0183661. PubMed ID: 28859109
[TBL] [Abstract][Full Text] [Related]
17. Segmentation of microarray images using pixel classification-comparison with clustering-based methods.
Giannakeas N; Karvelis PS; Exarchos TP; Kalatzis FG; Fotiadis DI
Comput Biol Med; 2013 Jul; 43(6):705-16. PubMed ID: 23668346
[TBL] [Abstract][Full Text] [Related]
18. A theoretical and experimental investigation of graph theoretical measures for land development in satellite imagery.
Unsalan C; Boyer KL
IEEE Trans Pattern Anal Mach Intell; 2005 Apr; 27(4):575-89. PubMed ID: 15794162
[TBL] [Abstract][Full Text] [Related]
19. [The possibility of using high resolution satellite images for detection of marine mammals].
Platonov NG; Mordvintsev IN; Rozhnov VV
Izv Akad Nauk Ser Biol; 2013; (2):217-26. PubMed ID: 23789427
[TBL] [Abstract][Full Text] [Related]
20. A semi-automated single day image differencing technique to identify animals in aerial imagery.
Terletzky P; Ramsey RD
PLoS One; 2014; 9(1):e85239. PubMed ID: 24454827
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
