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Here is how you have to narrow down your research problem in hyperspectral remote sensing

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Research on Initial Stage Common Fallacies   Usually, the below two common mistakes are highly possible at the initial stage of our research  Hopping our interests from one keyword to another Overnight identification of research problem Hopping our interests from one keyword to another "W hat could be more interesting than this?"            During my initial research journey, when I search with keyword data mining I found more interesting topics such as Business Intelligence, Image Mining, Text Mining, Social Networking Data Analysis, Video Analytics, etc. This was my thought when I read about video analytics-"what could be more interesting than this?". Each and every time I asked the above question whenever the keywords are changed. Soon, you need to identify the research problem or you need to prepare a better answer for your guide on why are you late? Overnight identification of research problem  "Scholar: 💡  Professor!  I Identified the resear

Planning for PhD? How about Remote Sensing?

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Planning for PhD?      If you are decided to do a Ph.D. in any computer science streams then this post is worth reading before starting your research.  In my experience, research gave me a new insight into looking at the problems and our surroundings. Only one thing that keeps me to move on all the impediments during my PhD is an enthralling research topic and specialization which I did chose. Before stepping into any research problems or literature the following three analysis you must do, What are your interests? In which stream you want to be specialized? Whether your interests/specialization is related to your guide stream?       Are  you   an earth explorer, nature enthusiast, agriculture endeavour or new on to the research? Then trust me ' Remote Sensing (RS) ' domain could be your best choice to start up your research because it is  one of the highlighted research areas with more interesting scopes especially with geographical measurements, Agriculture land classificatio