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Hyperspectral Sensors as a Management Tool to Prevent the Invasion of the Exotic Cordgrass Spartina densiflora in the Doñana Wetlands

Javier Bustamante, David Aragonés, Isabel Afán, Carlos Luque, Andrés Pérez-Vázquez, Eloy Castellanos, Ricardo Díaz-Delgado
2016 Remote Sensing  
are the best performing target detection techniques that can be employed operationally with a simplified processing of hyperspectral images.  ...  We test the use of hyperspectral sensors for the early detection of the invasive denseflowered cordgrass (Spartina densiflora Brongn.) in the Guadalquivir River marshes, Southwestern Spain.  ...  We are grateful to the Instituto Nacional de Técnica Aeroespacial (INTA), Spain, for performing the airborne campaign and the geometric correction of the images.  ... 
doi:10.3390/rs8121001 fatcat:ha77h7ljcfhnlozfrr4isb3usu

Hyperspectral Data for Mangrove Species Mapping: A Comparison of Pixel-Based and Object-Based Approach

Muhammad Kamal, Stuart Phinn
2011 Remote Sensing  
Visual image interpretation and digital image classification have been used to map and monitor mangrove extent and composition for decades.  ...  The mapping results showed that SAM produced accurate class polygons with only few unclassified pixels (overall accuracy 69%, Kappa 0.57), the LSU resulted in a patchy polygon pattern with many unclassified  ...  Arroyo Mendez, and Chris Roelfsema for the object-based image analysis discussions.  ... 
doi:10.3390/rs3102222 fatcat:uthzhye2fvcyhex7lijlgh2wqu

Spectrally segmented principal component analysis of hyperspectral imagery for mapping invasive plant species

F. Tsai, E.‐K. Lin, K. Yoshino
2007 International Journal of Remote Sensing  
However, it may overlook subtle but useful information if directly applied to the analysis of hyperspectral data, especially for the discrimination among different vegetation types.  ...  The developed algorithm can not only reduce the dimensionality of hyperspectral imagery but also extract helpful information for differentiating the target plant species from other vegetation types more  ...  Pei-Fen Lee of National Taiwan University for kindly supporting us with valuable images and other data as well as many useful suggestions.  ... 
doi:10.1080/01431160600887706 fatcat:dnk2odh4hvb2nhnv6m7vsembw4

Alternative representations of in‐stream habitat: classification using remote sensing, hydraulic modeling, and fuzzy logic

Carl J. Legleiter, Michael F. Goodchild
2005 International Journal of Geographical Information Science  
This process results in conditional objects separated by ambiguous transition zones, and a compromise must be reached between the proportion of the channel assigned to polygons and the certainty with which  ...  We utilize hydrodynamic modeling, remotely sensed data, and fuzzy clustering to obtain classifications that allow for continuous partial membership and gradual transitions among habitat types.  ...  Crabtree for the opportunity to pursue this project and to Jim Rasmussen and Rob Ahl for their help in the field.  ... 
doi:10.1080/13658810412331280220 fatcat:zmmcbndapjcmrh7zhvvtckqt2e

Hyperspectral Remote Sensing [chapter]

Eyal Ben-Dor, Daniel Schläpfer, Antonio J. Plaza, Tim Malthus
2013 Airborne Measurements for Environmental Research  
Polygons drawn from the UAV but aligned with the four corner points of the 2009 plot data and assuming minimal change between 2009 and 2012. c) Polygons with a 1 m buffer around GPS points sampled in  ...  and WV-2 single and multi-date data for more detailed classifications of habitats.  ...  Appendix 1: Characteristics of hyper-spectral sensors acquired over the BIOSOS sites. The MIVIS hyper-spectral sensor is a whisk-broom scanner with an axe head double mirror.  ... 
doi:10.1002/9783527653218.ch8 fatcat:rimn5senmnaf5k6vpytbokahoi

Ill-posed Surface Emissivity Retrieval from Multi-Geometry Hyperspectral Images using a Hybrid Deep Neural Network [article]

Fangcao Xu, Jian Sun, Guido Cervone, Mark Salvador
2022 arXiv   pre-print
State-of-the-art physics-based atmospheric correction approaches require extensive prior knowledge about sensor characteristics, collection geometry, and environmental characteristics of the scene being  ...  This is even more crucial when working with hyperspectral data, where a precise measurement of spectral properties is required.  ...  Red points and green polygons in the left plot are 14 locations selected for the grass pixels and their corresponding hyperspectral images intersecting with them.  ... 
arXiv:2107.04631v3 fatcat:nuh3ztypqzgyrnztmwpqnwhw6m

The AIDSS Module for Data Acquisition in Crisis Situations and Environmental Protection

Andrija Krtalić, Milan Bajić, Tamara Ivelja, Ivan Racetin
2020 Sensors  
hyperspectral line scanner data into hyperspectral images, and producing hyperspectral cubes).  ...  VNIR and thermal infrared sensors are of benefit, because they display the scene in different ways.  ...  based on image (geometric and spectral) characteristics, and classification as shown in [12] and [13] .  ... 
doi:10.3390/s20051267 pmid:32110938 fatcat:kvtvx7oxofbcnjxuu2fqvbgvui

Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges

Wenzhong Shi, Min Zhang, Rui Zhang, Shanxiong Chen, Zhao Zhan
2020 Remote Sensing  
Then, the data from different sensors used for change detection, including optical RS data, synthetic aperture radar (SAR) data, street view images, and combined heterogeneous data, are presented, and  ...  This review will be beneficial for researchers in understanding this field.  ...  Single-Stream Framework There are two main types of single-stream framework structures for AI-based change detection, as shown in Figure 5 , namely a direct classification structure and a mapping transformationbased  ... 
doi:10.3390/rs12101688 fatcat:rgzs4spxarabhjwebkxwppsnfu

Major forests and plant species discrimination in Mudumalai forests region using airborne hyperspectral sensing

B.S.P.C. Kishore, Amit Kumar, Purabi Saikia, Nikhil V. Lele, A.C. Pandey, Parul Srivastava, Bimal K. Bhattacharya, M.L. Khan
2020 Journal of Asia-Pacific Biodiversity  
The comparative analysis of the existing forest types with Champion and Seth's (1968) classification of forests exhibited a change of 30% in forest types in terms of their structure, composition, and extent  ...  The study implies the high spectral fidelity of airborne images for forest type mapping and plant species discrimination in tropical forests.  ...  The authors are grateful to Space Application Centre, Indian Space Research Organization (ISRO), Government of India for the funding provided under Airborne Visible/Infrared Imaging Spectrometer Next Generation  ... 
doi:10.1016/j.japb.2020.07.001 fatcat:yy4eyda7ejdwlp2xxdh5tdm7q4

A Novel Remote Sensing Image Registration Algorithm Based on Feature Using ProbNet-RANSAC

Yunyun Dong, Chenbin Liang, Changjun Zhao
2022 Sensors  
In addition, for the model estimation based on RANSAC, we determined the process according to a probabilistic perspective and presented a formulation of RANSAC with the learned guidance of hypothesis sampling  ...  At the same time, a deep convolutional neural network of ProbNet was built to generate a sampling probability of corresponding feature points, which were then used to guide the sampling of a minimum set  ...  For line and polygon features, the evident line or polygon structures are required in the image.  ... 
doi:10.3390/s22134791 pmid:35808287 pmcid:PMC9268994 fatcat:gupdsxfh6vaxrnrc2ee36jpxja

Assessing the Potential Replacement of Laurel Forest by a Novel Ecosystem in the Steep Terrain of an Oceanic Island

Ram Sharan Devkota, Richard Field, Samuel Hoffmann, Anna Walentowitz, Félix Manuel Medina, Ole Reidar Vetaas, Alessandro Chiarucci, Frank Weiser, Anke Jentsch, Carl Beierkuhnlein
2020 Remote Sensing  
Quantifying and mapping invasion processes are important steps for management and control but are challenging with the limited resources typically available and particularly difficult to implement on oceanic  ...  islands with very steep terrain.  ...  Despite the strong resemblance in the climate, vegetation structure, and characteristic laurophyllous plant functional types between the present-day Canary Islands and the Tertiary period, the current  ... 
doi:10.3390/rs12244013 fatcat:646roj7ljvfafjtnsmexp55wma

Analysis of Diagnostic Images of Artworks and Feature Extraction: Design of a Methodology

Annamaria Amura, Alessandro Aldini, Stefano Pagnotta, Emanuele Salerno, Anna Tonazzini, Paolo Triolo
2021 Journal of Imaging  
To this end, several algorithms have been tested that allow for separating the characteristics and creating binary masks to be statistically analyzed and polygonized.  ...  Digital images represent the primary tool for diagnostics and documentation of the state of preservation of artifacts.  ...  Acknowledgments: The authors are grateful to the QGIS Italia community for their technical support in adapting the software to the needs of the methodology presented.  ... 
doi:10.3390/jimaging7030053 pmid:34460709 pmcid:PMC8321317 fatcat:h62yyeccdra3taooddsr5u6rxe

Detection of Urban Damage Using Remote Sensing and Machine Learning Algorithms: Revisiting the 2010 Haiti Earthquake

Austin Cooner, Yang Shao, James Campbell
2016 Remote Sensing  
Additionally, textural and structural features including entropy, dissimilarity, Laplacian of Gaussian, and rectangular fit are investigated as key variables for high spatial resolution imagery classification  ...  Spatial features of texture and structure were far more important in algorithmic classification than spectral information, highlighting the potential for future implementation of machine learning algorithms  ...  We would like to thank Chris McCormick for his excellent tutorial on RBFNN and corresponding software which was modified for use here.  ... 
doi:10.3390/rs8100868 fatcat:c3houqm2frebtbr5epv67l7ika

Building Extraction from Very-High-Resolution Remote Sensing Images Using Semi-Supervised Semantic Edge Detection

Liegang Xia, Xiongbo Zhang, Junxia Zhang, Haiping Yang, Tingting Chen
2021 Remote Sensing  
This approach uses a small number of labeled samples and abundant unlabeled images for joint training.  ...  An expert-level semantic edge segmentation model is trained based on labeled samples, which guides unlabeled images to generate pseudo-labels automatically.  ...  Acknowledgments: We would like to acknowledge the Imagesky in Suzhou for supporting the Google Earth data. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13112187 fatcat:7kbblhmdwzenzgy4xsgpy4bbza

Earthen levee slide detection via automated analysis of synthetic aperture radar imagery

Lalitha Dabbiru, James V. Aanstoos, Nicolas H. Younan
2015 Landslides. Journal of the International Consortium on Landslides  
Various approaches of image analysis methods for characterizing levee segments within the study area have been implemented and tested.  ...  This technique is very fast and does not depend on ground truth information, so these results guide levee managers to investigate the areas shown as anomalies in the classification map.  ...  The radar backscatter is strong for lower incidence angles and decreases with increasing incidence angles.  ... 
doi:10.1007/s10346-015-0599-9 fatcat:bmuyvhnzk5bitebae2tzhbj2du
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