Chapter 5 Result Analysis 5.1 Introduction In this chapter, we will discuss our experimental results. The aim of this experiment to find more accurate results for remote sensing image scene classification. In this experiment we have used NWPU-RESISC45 dataset. We applied some normal learning procedure and deep learning procedure in this experiment. In deep learning procedure we used two well-known deep learning named VGG16 and ResNet50. We, trained them from scratch as well as applied transfer learning on our dataset. We discussed about the procedures in the previous chapter. We will discuss the results, make comparison and eventually draw a conclusion on this chapter. We will also discuss about implementation environment and dataset. 5.2 …show more content…
Using different procedures our findings are given below in Table 5.1. Table 5.1: Experimental results of different methods. Method Accuracy (%) NABP 71.76% Centrist 76.5% BVW 76.8% VGG11 76.9% Model1 87.57% VGG16 (classifier) 91.9% VGG16(fine-tuning) 90.48% ResNet (classifier) 95.9% ResNet (fine-tune) 96.01% A comparison based on different findings using different procedures is given in Figure 5.1 Figure 5.1: Experimental results comparison for different methods on NWPU-RESISC45 dataset In the Figure 5.1, we can categorize procedures into three parts where one part is normal learning, second part is deep learning from scratch and anther is transfer learning. We found less accuracies using normal learning approach because normal learning procedures are not so robust. We found better accuracies using convolutional neural network training from scratch. We found our best results using transfer learning. The reason is that we are using a comparatively small dataset. When we train a model from scratch it needs to update whole parameters while training. As dataset is comparatively small, a large number of parameter get over fitted on these small data. When we are using transfer learning we do not interfere the generic feature extraction of a model as it learned before. We just train a limited number of parameters to fit into our data. So, the model does not get over fitted and produce a good performance. 5.5 Conclusion In this chapter we have
With the subset of principal component that is predictor in the supervised task can lose the nonlinear
One of the biggest advantages of Neural Network is that it can actually learn from observing data sets. This way it uses a random function approximation tool, which helps to estimate the most efficient and ideal solution while defining all the computing functions and distributions. Neural Networks takes data samples instead of entire data sets to arrive to a solution, which saves a lot of time and money. Neural Networks are considered as simple mathematical models to enhance existing data analysis technology.
The Confederate invasion of the North in September of 1862 was an attempt by Robert E. Lee to swing the war in favor of the South. The main reason for the Confederate invasion was that the British were on the verge of recognizing the Confederacy if they could show it could hold its own, and Lee was anxious to provide a cornerstone for the Confederacy to build upon. The Battle of Antietam was the bloodiest day in American history and was a major blow to the Army of Northern Virginia and the morale of the south. This is the tableau against which our story unfolds.
In my own conceit, the production of the Mousetrap scene I liked best was the interpretation of Kenneth Branagh. During the time that Branagh was doing his performance he was being very emotional and kept motion going on. This one was the best because I was able to understand the point that he was trying to prove by the reactions he was making and the tone of voice he used for the different reactions or responses.
Three Rivers Optical is a company located in Pittsburgh which supplies lenses to the ophthalmic community. Steve Siebert, CEO and head of marketing faces different challenges on deciding if he should keep trade shows he has been doing as sales have not been proficient enough, and whether he should invest in new trade show to grow TRO’s market share. Steve’s plan is to invest into different states such as California and Michigan in the next five years. As TRO is moving towards the west, it needs to invest in trade shows International Vision Expo West and Midwest Vision Conference & Expo. Trade shows are a very important investment in the eyes of TRO since they generate sales, and more importantly attract new
In your story you offered a lot of shock value. I enjoyed reading your story there were several eventful, mysterious and crazy moments that were unexplainable and the way you told your story with journal entries and flashbacks was creative. This was successfully delivered throughout the entirety of the story. There were some confusing moments where the story doesn't acknowledge rather he is alone or rather there is an unknown presence in the room at first. I really enjoyed the way you begin to introduce the ideal of there being a paranoia figure with the traditional things we do in life like the consumption of food and memories. The imagery in the Forrest was well detailed and would be even more eventful if they draw a closer connection with
Jo Marie Brown is the local photograph Located in Lexington, SC. The image I will be deconstructing is landscape photo, R_DSC2638. What I admire most about Brown’s work is her freestyle storytelling approach to capturing a great photo. Jo Marie Brown specializes in portrait photography, newborn portraiture, special events, Landscape, and nature, serving all of SC.
Open Traverse consists of series of linked traverse that do not come back to the initial points.
This is often the first criteria in selecting steel security ceiling systems. Generally, snap in and downward locking pan systems are selected only for supervised areas. Security plank systems of appropriate gauge and construction are available for use in cells and other unsupervised areas.
Land specialists pass by a couple of various names, in spite of the fact that the refinement
Photo 1 Final Essay Photography is something that I would not have thought about taking, or enjoying. After being placed in this class, I was not looking forward to it. But after this semester I have realized I actually enjoy photography, and I am looking forward to taking it next year. In my final body of work I have included my assignments; patterns of nature, landscape, available light portraits, my photogram, and my studio portraits. I also have included 3 alternative techniques, a sepia print, a double negative, and photos shot in camera RAW.
The property is of rectangle shape, with the North East side running parallel to Fitzherbert East Road.
You can follow some rules for getting beautiful image. For Landscape Photography following the techniques, you will hold the perfect moment and get vivid pictures. Thus, you will be able to capture some amazing beauty that you see.
I have been working on my proposal for remote sensing and was wondering if you could take a look at it. After feeling a bit shaky about the midterm, I really want to knock this project out of the park. I know you are really busy, and I appreciate any direction you can give me.
What is a photograph? The simplicity of taking a photograph leads many to ponder its artistic value. Yet, it is undeniable that there are some photos that cause an emotional reaction deeper than simply observing a recorded point in time. Surely, there are photographs that cause more reaction than some modern art pieces. There seems to be two types of photographs. The first classification is the ‘time capture’ photo – an image with the sole purpose of recording a particular event or point in time. The second nature of a photo carries a ‘deeper meaning,’ which has the ability to change the observer’s mood and cause a reaction. But what distinguishes these two varieties? There are a