Journal Article10.1142/S0218126621500274
High-Throughput, Resource-Efficient Multi-Dimensional Parallel Architecture for Space-Borne Sea-Land Segmentation
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TL;DR: Sea-land segmentation based on edge detection is commonly utilized in ship detection, coastline extraction, and satellite system applications due to its high accuracy and rapid speed.
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Abstract: Sea-land segmentation based on edge detection is commonly utilized in ship detection, coastline extraction, and satellite system applications due to its high accuracy and rapid speed. Pixel-level d...
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Citations
High anti-interference and FPGA-oriented method for real-time ship detection based on structured LBP features
TL;DR: An efficient feature computing unit and multichannel storage structure is proposed to optimize the FPGA (field-programmable gate array) implementation and relieve the pressure of high data rate processing and can eliminate a lot of computational redundancy.
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SCASA: A Spark-Based Parallel Approach for Net Primary Productivity Calculation with CASA Model
Hui Zhang,Kaijun Ren,Xiaosong Li +2 more
TL;DR: Wang et al. as discussed by the authors proposed a Spark-based parallel approach for NPP calculation with CASA model, based on the distributed storage characteristics of HDFS, they proposed a storage strategy specifically for CASA, and redesign the computation process to maximize parallelism.
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References
Automatic segmentation of MR brain images with a convolutional neural network
Pim Moeskops,Max A. Viergever,Adriënne M. Mendrik,Linda S. de Vries,Manon J. N. L. Benders,Ivana Išgum +5 more
TL;DR: In this article, a convolutional neural network (CNN) was used for segmentation of MR brain images into a number of tissue classes using a single anatomical MR image only.
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Automatic Segmentation of MR Brain Images With a Convolutional Neural Network
Pim Moeskops,Max A. Viergever,Adriënne M. Mendrik,Linda S. de Vries,Manon J. N. L. Benders,Ivana Išgum +5 more
TL;DR: This paper presents a method for the automatic segmentation of MR brain images into a number of tissue classes using a convolutional neural network, and demonstrates its robustness to differences in age and acquisition protocol.
560
Remote sensing of coastlines: detection, extraction and monitoring
TL;DR: In this article, the current status of the use of remote sensing for the detection, extraction and monitoring of coastlines is reviewed, and the developed techniques have reached a level of maturity such that they are applied in operational settings.
267
A Distributed Canny Edge Detector: Algorithm and FPGA Implementation
TL;DR: A distributed Canny edge detection algorithm that adaptively computes the edge detection thresholds based on the block type and the local distribution of the gradients in the image block to have a significantly reduced latency and can be easily integrated with other block-based image codecs.
184
A Big Data-as-a-Service Framework: State-of-the-Art and Perspectives
TL;DR: A tensor-based multiple clustering on bicycle renting and returning data is illustrated, which can provide several suggestions for rebalancing of the bicycle-sharing system and some challenges about the proposed framework are discussed.
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