Matching map features to synthetic aperture radar (SAR) images using template matching

Caves, R.G.; Harley, P. J.; Quegan, S.

doi:10.1109/36.158861

Cited by 21 publications

(9 citation statements)

References 7 publications

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“…One approach consists in calculating a measure of correlation between the image and the model. 16 This approach was used as a means of detection of tree crowns. An in-house program was developed in Python 2.7 to perform template matching between any small image (the template) and a gray scale image of any size.…”

Section: Detection and Delineation Of The Tree Crownsmentioning

confidence: 99%

Identification of urban tree crown in a tropical environment using WorldView-2 data: problems and perspectives

Gomes

Maillard

2013

Earth Resources and Environmental Remote Sensing/Gis Applications IV

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With the availability of high-resolution satellite data, much research has been focused on the automatic detection and classification of individual tree crowns. Most of these studies were applied to temperate climates of the northern hemisphere, especially for forests of coniferous. Very few studies have been applied to the detection of trees in the tropical regions, least of all in the urban environment. Urban trees play a major role in maintaining or even improving the quality of life in cities by their contribution to the quality of the air, by absorbing rain water, by refreshing the air through transpiration and providing shadow. In this study we explored the potential of high-resolution WorldView-2 satellite data for the identification of urban individual tree crowns in the city of Belo Horizonte, Minas Gerais, Brazil, through an object-oriented approach. Irrelevant areas were masked (e.g. buildings, asphalt, shadows, exposed soil) using a threshold of NDVI. Three different approaches were tested to isolate and delineate individual tree crowns: region growing, watershed and template matching. For the first two approaches several parameters were tested to find the best result for the isolation of the individual tree crowns. An in-house program has been developed for template matching using a set of seven different templates of different species. A set of 300 individual tree crowns were visually interpreted in the WorldView-2 image to serve as validation and to compare the performance of the three different approaches. Then, the comparison was performed between the visual interpretation and the results of each approach by calculating the difference between the areas as a ratio of the validated area. Our results show that the region growing approach provided the best results, with an accuracy of over 80%.

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Section: Detection and Delineation Of The Tree Crownsmentioning

confidence: 99%

Identification of urban tree crown in a tropical environment using WorldView-2 data: problems and perspectives

Gomes

Maillard

2013

Earth Resources and Environmental Remote Sensing/Gis Applications IV

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“…Y=xv (Ovj1) (1) is used to map HRR data to have gaussian-like density.6'7'5'8 Larger singular values imply significant contribution of that particular eigenvector in forming the target signal. Hence these are denoted as "signal subspace" eigenvectors whereas those corresponding to the smaller singular values correspond to the "noise or clutter subspace" .…”

Section: Hrr Data Preprocessingmentioning

confidence: 99%

<title>Automatic target recognition using Eigen templates</title>

Shaw

Bhatnagar

1998

SPIE Proceedings

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This paper presents ATR results with High Range Resolution (HRR) profiles used for classification. It is shown that effective HRR-ATR performance can be achieved if the templates are formed via Singular Value Decomposition (SVD) of detected HRR profiles. It is demonstrated theoretically that in the mean-squared sense, the eigen-vectors represent the optimal feature set. SVD analysis of a large class of XPATCH and MSTAR HRR-data clearly indicates that significant proportion (> 90%) of target energy is accounted for by the eigen-vectors of range correlation matrix, corresponding to only the largest singular value. The SV Decomposition also decouples the range and angle basis spaces. Furthermore, it is shown that significant clutter reduction can be achieved if HRR data is reconstructed using only the significant eigenvectors. ATR results with eigen-templates are compared with those based on meantemplates. Results are included for both XPATCH and MSTAR data using linear least-squares and matched-filter based classifiers.

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“…Landmark detection could either be done by an operator [5] or a special image processing algorithm. Different methods of matching SAR images to optical images or to map fea tures are described in [9] and [10], respectively. A method to properly generate SAR range and range rate measurements was described by Layne [5].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of federated filter for SAR/TRN/GPS/INS integration

Maier¹,

Kiesel²,

Trommer³

2011

Gyroscopy Navig.

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Decentralized integration of global positioning system (GPS), synthetic aperture radar (SAR), and terrain referenced navigation (TRN) system into an inertial navigation system (INS) is analysed in com parison to the centralized integration method in this paper. Many publications have shown different decen tralized integration methods. The main advantage of the decentralized filter architecture is flexibility and modularity. Especially the federated no reset filter has received considerable attention in literature because of improved fault detection and isolation (FDI) capability, which is an important feature in multi sensor nav igation systems. Fault detection capability of the federated no reset filter is well established. However, this filter type combines sensor data in a suboptimal way and a loss of accuracy compared to the centralized Kal man filter is generally observed. Other publications mentioned this loss of accuracy, but did not give the amount of accuracy loss for SAR/TRN/GPS/INS systems. In this paper additionally a slight modification of the federated filter is presented. Typically a GPS/INS filter tends to be overoptimistic due to long term time correlated atmospheric errors of the GPS pseudo range measurements. A rather simple modification of the federated filter is given to take into account this overoptimistic behaviour. A covariance correction yields a more reasonable covariance of the GPS/INS local filter and an improved overall position estimation of the federated filter.

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Matching map features to synthetic aperture radar (SAR) images using template matching

Cited by 21 publications

References 7 publications

Identification of urban tree crown in a tropical environment using WorldView-2 data: problems and perspectives

Identification of urban tree crown in a tropical environment using WorldView-2 data: problems and perspectives

<title>Automatic target recognition using Eigen templates</title>

Performance analysis of federated filter for SAR/TRN/GPS/INS integration

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