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SAU THE MATRIX ERROR Khi các dự án viễn thám đã phát triển phức tạp, do đó, có đề án phân loại liên quan. Đề án phân loại sau đó trở thành một yếu tố rất quan trọng ảnh hưởng đến tính chính xác của toàn bộ dự án. Gần đây, các giấy tờ đã xuất hiện trong cuốn sách này chỉ ra một số hạn chế của việc sử dụng chỉ là một cách tiếp cận ma trận lỗi để đánh giá độ chính xác với một chương trình phân loại phức tạp. Một bài báo Congalton và Green. | CHAPTER 7 Advanced Topics BEYOND THE ERROR MATRIX As remote sensing projects have grown in complexity so have the associated classification schemes. The classification scheme then becomes a very important factor influencing the accuracy of the entire project. Recently papers have appeared in the literature that point out some of the limitations of using only an error matrix approach to accuracy assessment with a complex classification scheme. A paper by Congalton and Green 1993 recommends the error matrix as a jumping off point for identifying sources of confusion i.e. differences between the remotely sensed map and the reference data and not just error in the remotely sensed classification. For example the variation in human interpretation can have a significant impact on what is considered correct and what is not. As previously mentioned if photo interpretation is used as the reference data in an accuracy assessment and that photo interpretation is not completely correct then the results of the accuracy assessment will be very misleading. The same statements are true if ground observations as opposed to actual ground measurements are made and used as the reference data set. As classification schemes become more complex more variation in human interpretation is introduced. Also factors beyond just variation in interpretation are important. Work is needed to go beyond the error matrix and introduce techniques that build upon the information in the matrix and make it more meaningful. Some of this work has already begun. In situations where the breaks i.e. divisions between classes in the classification system represent artificial distinctions along a continuum variation in human interpretation is often very difficult to control and while unavoidable can have profound effects on accuracy assessment results Con-galton 1991 Congalton and Green 1993 . Several researchers have noted the impact of the variation in human interpretation on map results and accuracy .
