Robust Cultivated Land Extraction Using Encoder-Decoder
نویسندگان
چکیده
منابع مشابه
Molecular all-photonic encoder-decoder.
In data processing, an encoder can compress digital information for transmission or storage, whereas a decoder recovers the information in its original form. We report a molecular triad consisting of a dithienylethene covalently linked to two fulgimide photochromes that performs as an all-photonic single-bit 4-to-2 encoder and 2-to-4 decoder. The encoder compresses the information contained in ...
متن کاملVHDL Implementation of different Turbo Encoder using Log-MAP Decoder
Turbo code is a great achievement in the field of communication system. It can be created by connecting a turbo encoder and a decoder serially. A Turbo encoder is build with parallel concatenation of two simple convolutional codes. By varying the number of memory element (encoder configuration), code rate (1/2 or 1/3), block size of data and iteration, we can achieve better BER performance. Tur...
متن کاملSingle Image Reflection Removal Using Deep Encoder-Decoder Network
Image of a scene captured through a piece of transparent and reflective material, such as glass, is often spoiled by a superimposed layer of reflection image. While separating the reflection from a familiar object in an image is mentally not difficult for humans, it is a challenging, ill-posed problem in computer vision. In this paper, we propose a novel deep convolutional encoder-decoder metho...
متن کاملGBPS Full Duplex Transmission Using Reed - Solomon Encoder and Decoder
165 Abstract— We have proposed and demonstrated a novel architecture for a bidirectional wavelength division multiplexed passive optical network (WDM-PON) system based on forward channel coding (FEC) method by employing Reed-Solomon (RS) encoder and decoder in the configuration. We have used mutually injection locking technique by employing Fabry-Perot laser diode (FPLD) as the broadband light ...
متن کاملLearning Discriminative Features using Encoder-Decoder type Deep Neural Nets
As machine learning is applied to an increasing variety of complex problems, which are defined by high dimensional and complex data sets, the necessity for “task oriented feature learning” grows in importance. With the advancement of Deep Learning algorithms, various successful feature learning techniques have evolved. In this paper, we present a novel way of learning discriminative features by...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of New Media
سال: 2020
ISSN: 2579-0110
DOI: 10.32604/jnm.2020.014115