Using Local Binary Pattern Variance for Land Classification and Crop Identification

نویسندگان

  • Ashwin A. Shinde
  • Manish Shrivastava
چکیده

The conventional method of compiling statistics on Crop Estimation is done by the Government Ministry to make ground surveys, during which selected farmers or village officials are interviewed regarding their crops. By comparison with the results of previous years, this information is then extrapolated to generate data and predictions on a regional basis. This means that these traditional surveys are both time-consuming and expensive that’s why farmer’s eye estimates are remarkably close to actual crop production figures. Remote sensing has been increasingly identified as an objective, standardized, possibly cheaper and faster methodology for crop production surreys than conventional field investigation. The aim of this research is to evaluate crop discrimination using satellite image data by following remote sensing approach. This research illustrates the use of Local Binary Pattern Variance on satellite images to classify the land in to crop land and non-crop land and to classify different crops. The input image is first enhanced then Local Binary Pattern Variance is used to extract features from the crop images specifically extracting green colors. After identifying the LBPV pattern of each pixel (i,j) in the given image the whole texture image is represented by building a histogram showing intensity values for uniform and non-uniform patterns. A texture image database of different crops is created. The texture features of the input image are then compared with texture features obtained from the image database of different crops and the different types of crops are identified.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Mandibular Trabecular Bone Analysis Using Local Binary Pattern for Osteoporosis Diagnosis

Background: Osteoporosis is a systemic skeletal disease characterized by low bone mineral density (BMD) and micro-architectural deterioration of bone tissue, leading to bone fragility and increased fracture risk. Since Panoramic image is a feasible and relatively routine imaging technique in dentistry; it could provide an opportunistic chance for screening osteoporosis. In this regard, numerous...

متن کامل

A Novel Noise-Robust Texture Classification Method Using Joint Multiscale LBP

In this paper we describe a novel noise-robust texture classification method using joint multiscale local binary pattern. The first step in texture classification is to describe the texture by extracting different features. So far, several methods have been developed for this topic, one of the most popular ones is Local Binary Pattern (LBP) method and its variants such as Completed Local Binary...

متن کامل

Identification and investigation of the area under cultivation in Lenjanat using Landsat 8 satellite images

The cognition of cropping pattern is important for planning and resource management .Remote sensing as a science and technology of spatial information and geographic information system due to having the analytical facilities can play a key role in determining the distribution of crops and their lands under cultivation. In this research, in order to identify and separate the lands under cultivat...

متن کامل

Second-Order Statistical Texture Representation of Asphalt Pavement Distress Images Based on Local Binary Pattern in Spatial and Wavelet Domain

Assessment of pavement distresses is one of the important parts of pavement management systems to adopt the most effective road maintenance strategy. In the last decade, extensive studies have been done to develop automated systems for pavement distress processing based on machine vision techniques. One of the most important structural components of computer vision is the feature extraction met...

متن کامل

Compressed Image Hashing using Minimum Magnitude CSLBP

Image hashing allows compression, enhancement or other signal processing operations on digital images which are usually acceptable manipulations. Whereas, cryptographic hash functions are very sensitive to even single bit changes in image. Image hashing is a sum of important quality features in quantized form. In this paper, we proposed a novel image hashing algorithm for authentication which i...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012